Customer Analytics Resume Samples

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AK
A Kuhic
Afton
Kuhic
130 Pagac Overpass
Phoenix
AZ
+1 (555) 592 3092
130 Pagac Overpass
Phoenix
AZ
Phone
p +1 (555) 592 3092
Experience Experience
Chicago, IL
Customer Analytics Manager
Chicago, IL
Connelly Group
Chicago, IL
Customer Analytics Manager
  • Scoping, designing, planning, execution and reporting on analyses of customer journeys through customer survey data in combination with other data sources
  • Develop training materials and communications to the field regarding changes to processes within CRM in coordination with the Director of Training
  • Analysing marketing data to create best practises and ensuring RoI
  • Performing analysis including correlations, regression analyses, cluster analyses, etc
  • Develop training methodologies for CRM and participate in training employees and the sales team in the use of CRM
  • Collaborate with the Pricing Manager and CRM administration team to develop any process improvement ideas within CRM
  • Develop a plan for increased field utilization of CRM database and training on changes
Boston, MA
Senior Analyst, Customer Analytics
Boston, MA
Legros-Collins
Boston, MA
Senior Analyst, Customer Analytics
  • Manage multiple data sources, identify gaps in the data capture process and make suggestions on improvements/enhancements for data hygiene
  • Improve the effectiveness of customer acquisition, customer wallet share deepening, customer value management and customer retention
  • May be responsible for leadership, coaching, development and superior performance of a group of 2 onshore team members and about 3-5 offshore team members
  • Meet established deadlines and work on multiple projects simultaneously
  • Develop and direct a variety of fact-based analyses that aid Management in making decisions relating to the creation or expansion of new or existing businesses
  • Develop and maintain studies, profiles, analyses, and reporting on consumer behavior
  • Communicate effectively in both written and verbal form; Productively interact with all levels of management and various individuals across the company
present
San Francisco, CA
Director, Customer Analytics
San Francisco, CA
Homenick-Prohaska
present
San Francisco, CA
Director, Customer Analytics
present
  • Collaborate cross-functionally (Marketing, Finance, Stores, IM) to set growth targets and inform priorities for CRM analytics team
  • Lead team responsible for developing catalog circulation-analytics & customer-level planning, including file scoring for house and prospect circulation to meet financial goals
  • Lead CRM campaign analytics and reporting including LTV, CTA and ROI with focus on identifying opportunities to improve program performance
  • Develop and present reports focused on customer and campaign performance. This includes reporting on specific KPI trends and performance by campaign
  • Increase customer LTV through development of customer contact strategies informed by rigorous testing and customer analytics in areas of retention, frequency and spend
  • Drive increased ROI of direct response marketing program through development of lower cost pieces and more efficient mix of direct response vehicles in digital and physical channels
  • Proficiency with SAS or SPSS and advanced Excel
Education Education
Bachelor’s Degree in Statistics
Bachelor’s Degree in Statistics
Belmont University
Bachelor’s Degree in Statistics
Skills Skills
  • Strong analytical capability including the ability to interpret data and transform into meaningful conclusions and business recommendations
  • Strong ability to translate data and analytics into stories, insight, and actionable recommendations
  • Knowledge of visualization tools, such as Tableau
  • Demonstrates positive behaviours; helps create a great culture, builds strong relationships and collaborates with business partners
  • Excellent analytical skills with a demonstrated ability to solve problems
  • Familiarity with SQL and the ability to analyse and combine large data sets using tools such as R, SAS, SQL Server or SPSS
  • Exceptional presentation and communication skills - particularly strong in visualising and presenting complex data and analytical findings to non-technical audiences, and the ability to communicate effectively to a diverse range of teams
  • Business acumen and understanding of how analytics and insights support a large organisation including being able to successfully articulate the linkage between business decisions, business objectives, and analytical approaches & findings, turning analytics into compelling stories for non-technical audiences
  • Proven ability to translate technical concepts into business/commercial recommendations
  • Excellent organisational skills, with experience managing multiple competing workstreams
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15 Customer Analytics resume templates

1

Senior Analyst Customer Analytics Resume Examples & Samples

  • Perform data-mining and statistical analysis to develop credit management and database marketing solutions
  • Develop statistical models for credit & collection management
  • Develop statistical models and analyses for Retention Marketing and CRM applications
  • Conduct data-mining projects to discover drivers and triggers for KPI metrics (return, payment, bad debt, etc.)
  • Develop software and automated tools to track and manage credit and CRM applications
2

Customer Analytics Senior Analyst / Manager Resume Examples & Samples

  • 4+ years of relevant experience in financial services, marketing and / or consulting
  • Experience with analytical tools (e.g. SAS) & marketing applications, targeting, segmentation
  • Proactively provide analytical guidance to partners
  • Support execution with excellence of targeted marketing campaigns
  • Apply customer analytics using SAS to deliver legendary customer experience & drive shareholder value
3

VP, Customer Analytics Resume Examples & Samples

  • Bachelor’s degree in Marketing, Statistics, Mathematics, Economics or equivalent required; graduate / advanced degree highly preferred
  • 10+ years’ progressive experience solving business issues with the consultative application of database modeling and testing techniques as well as marketing mix modeling and interactive analytics. A minimum of five of these most recent years will be in a fast-paced agency environment
  • Experience delivering insight to internal or external clients by building a technical foundation that includes deep understanding of multi-channel target marketing and optimization in direct mail and/or interactive marketing
  • In-depth knowledge of quantitative analysis and ability to provide intuitive plain language understanding to clients
  • Demonstrated experience dealing with very senior clients and agency employees with an astute ability to synthesize multiple data types into a compelling client vision / action plan
  • Demonstrated conceptual selling skills in identifying client issues / problems and developing proposals to meet client needs; track record in growing revenue from client relationships
  • Demonstrated leadership acumen within client relationships and for direct reports and cross-functional project teams
  • A superior ability to get involved in day-to-day activities and flexibly provide hands-on analytics support
  • Flexibility to work and travel irregular hours; travel 20-40% and short notice travel required. Recruiter: Howard Fishman
4

Analyst, Customer Analytics Resume Examples & Samples

  • Decision Science: Provides advanced modelling, data management, enterprise measurement and special analytical project support to marketing & business partners
  • Advice & Analysis: Works collaboratively with marketing & business partners to inform and understand marketing objectives. Supports those objectives through customer analysis, data-based insight & leveraging the specialized expertise of Decision Science
  • Campaign Execution: Provides targeting, list management & campaign measurement expertise in support of marketing campaigns & customer experience research
  • Ability to leverage data to formulate statistical solutions to solve business problems
  • Executing analysis plans within defined timelines
  • Business casing and forecasting of marketing performance
  • Presenting results within Customer Analytics and/or to partners
  • Collaborate with partners to provide fact-based analytical advice that aligns to strategy & drives business results
  • Present impactful analysis to advisors, partners, and senior leadership to optimize marketing strategies and to inform new marketing strategies and programs
  • Execute high quality analysis within agreed timelines
  • A passion for analytics
  • A results orientation Facility with analytical tools, including SAS enterprise guide and SQL
  • Ability to work agilely with customer data to deliver insights that address customer needs, experience & profitability
  • The ability to multi-task and deliver high quality work under tight and demanding timelines
  • 5+ years relevant experience in analytics, preferably in marketing and/or financial services
  • Degree in mathematics/statistics, science, engineering, finance or another relevant quantitative discipline
  • Demonstrated ability to drive business value through analytics
  • Proven track record collaborating with partners across multiple lines of business
5

Customer Analytics & Predictive Modeling Resume Examples & Samples

  • At the minimum must have a Bachelor’s Degree preferred within a quantitative discipline
  • Must have 3+ years of analytics experience w/ extensive hands-on experience working on analytical studies from: interacting with stakeholders to understand their business questions, crafting the methodology, to mine/model/analyze datasets utilizing either SQL, SAS, R, and ultimately delivering final insightful recommendations to stakeholders
  • 3+ years of building predictive or propensity models using either SAS, R is a MUST
  • 3+ years of experience in data mining, modeling, and analyzing/reporting analytic findings using either SQL, SAS, R is a MUST
  • 3+ years of experience analyzing: customer data, transactional level data, marketing campaigns utilizing the following: SQL, SAS, R
  • 3+ years of experience in the following industries are preferred: Retail, Ecommerce, Financial Services
  • Small relocation assistance is available and will transfer existing H1B Visa’s Recruiter: Sunil Sud
6

Customer Analytics Manager Resume Examples & Samples

  • Numeracy to degree level or equivalent proven experience
  • Strong analytical capability including the ability to interpret data and transform into meaningful conclusions and business recommendations
  • Exceptional data analysis skills, preferably including the use of one or more web analytics tools (e.g. Google Analytics, Omniture, Webtrends, iJento)
  • Experience combining and synthesising multiple data sets to provide holistic answers to business questions
  • Passion for and practical experience of, storytelling using data and data visualisation
  • Be equally comfortable being ‘hands-on’ undertaking complex data analysis whilst mentoring others to do the same
  • A natural collaborator and team player with both colleagues and stakeholders
  • Ability to influence stakeholders across a variety of functions and levels of seniority
  • Exceptional presentation and communication skills - particularly strong in visualising and presenting complex data and analytical findings to non-technical audiences, and the ability to communicate effectively to a diverse range of teams
  • Experience of successfully leading and motivating diverse groups of people
  • Proven ability to translate technical concepts into business/commercial recommendations
  • A highly consultative approach and ability to decipher hidden user needs
  • Excellent organisational skills, with experience managing multiple competing workstreams
  • Experience with advanced functionality of digital analytics tools, such as sales funnel analysis, cohort analysis and segmentation
  • Have a passion for the web, digital and emerging technologies
  • Thorough, inquisitive, innovative, ‘out-of-the-box’ thinker
  • Familiarity with SQL and the ability to analyse and combine large data sets using tools such as R, SAS, SQL Server or SPSS
  • Experience of KPI formulation
  • Understanding and practical experience of supporting Marketing or CRM initiatives through the exploitation of data
  • Brave
  • Imaginative
  • Decent
7

Director of Customer Analytics Resume Examples & Samples

  • Lead the development and enhancement of our marketing database and omni-channel customer management engine; represent Bloomingdale’s interests and requirements with the MST and Macy’s marketing teams
  • Lead team to deliver best of breed reporting solutions and data visualization capabilities based on business partner requirements and to ensure adoption throughout the marketing organization
  • Provide thought leadership to business partners and team to evolve the development and reporting of KPIs to measure marketing effectiveness (i.e., channel sales attribution, customer segmentation, omni-channel propensity, etc.)
  • Oversee the development of statistical modeling capabilities around customer segmentation, campaign response and offers optimization (i.e. emails, catalogs, mobile, etc.)
  • Oversee day-to-day business application support, enabling the business function with systems and data that support marketing and analytic needs; perform data quality and data analysis to ensure integrity of database
  • Guide and deliver omni-channel analytics and experimentation capabilities; educate cross functional teams on approach and process to execute experiments
  • Ensure processes and organizational structure meet evolving needs and objectives
  • Develop talent and manage team engagement
  • BA/BS degree, Masters preferred in Mathematics, Statistics, Economics or related field
  • 7+ years of combined experience in marketing technology, database management, CRM and team management
  • Demonstrated ability to align cross team resources in systems development and implementation
  • Exceptional conceptual and creative thinker
  • Strong communication skills with the ability to summarize complex findings clearly and concisely
  • Strong ability to present to groups and to socialize new concepts
  • Broad working knowledge of retail, ecommerce, customer segmentation, lifecycle analysis, CRM applications, statistical modeling, and SQL
  • Must be process-oriented and detail-oriented
8

Customer Analytics Lead D M Resume Examples & Samples

  • Provide actionable and insightful recommendations from data mining, segmentation, customer profiling and quantitative analyses with the goals of: identifying acquisition, cross-sell, up-sell, and retention opportunities
  • Interpret results of analyses, translate insights into actionable recommendations, present the insights and recommendations to senior management and work closely with business partners to integrate and operationalize the recommendations in the business strategies, plans and tactics
  • May lead offshore resources
  • Minimum of 3 years of relevant work experience
  • Good familiarity with statistical tools (such as SAS, SPSS) and techniques used for modeling, segmentation, and in-depth data analysis
  • Ability to assume project oriented work requiring the combination of synthesizing information and presenting findings that aid in managerial decision making
  • Three years marketing or management consulting experience with consumer financial services, packaged goods, and/or marketing services companies
9

Head of Customer Analytics Resume Examples & Samples

  • The jobholder has a critical role in supporting growth of RBWM buisness, responsible for management of all customer information used to drive customer sales activity and analytical support for customer initiatives across RBWM channels
  • The jobholder is a key member of the CVM senior team and has key working relationships with range of stakeholders in Global functions and business units
  • This position leads, develops, mentors a culturally and geographically diverse team; provides detailed guidance to team, brings clarify to ambiguous stakeholder requests and manages conflicting priorities across business units
  • The jobholder requires critical thinking, strong management and communication skills and business drive. On a day to day basis, prioritization of requests decisions are exercised through the role holder
  • Day-to-day internal working relationships are with
  • Internal areas – ensuring proper communication and providing input into changes, initiatives, and acting as the business representative for RBWM
  • Regular external working relationships are with
  • Vendors
  • Consulting firms
  • Market Research Firms
  • Regular operating conditions require travel / site visits
  • Minimum of 10 years proven and progressive marketing experience or equivalent, including a minimum of four years proven senior management experience or equivalent
  • Proven track record of communicating effectively within the organization and with customer groups
  • Knowledge of the organization and its products, processes and pertinent regulations affecting their delivery
  • A comprehensive understanding of the banking, regulatory environment, industry trends and the competitive market as well as payment systems and technology
  • Demonstrated ability to rapidly build relationships with key stakeholders
  • Proven ability to persuade and/or influence others in order to provide and obtain information relevant to the programs. Highly developed inter-personal skills for dealing with sensitive information/situations
  • Excellent working knowledge of business and product management principles
  • Ability to accurately evaluate information and present recommendations based on facts
  • Proven ability of managing to plan and achieve results
  • Wide knowledge of policies, procedures, and risk management frameworks
  • Minimum of a bachelor’s degree in marketing, business, related field or equivalent experience
  • Strong leadership, negotiations, team building, project management, planning, organizational, managerial, analytical, communications, decision-making, lateral thinking, influencing and interpersonal skills
  • Ability to work in a team-oriented environment and effectively influence and communicate across various business lines at different levels within the organization
  • Understand the RBWM strategy and collaborate with the business to accomplish this strategy
  • Highly developed inter-personal skills for dealing with a diverse range of senior stakeholders
  • Demonstrated business knowledge
  • Strong business acumen and ability to continually make trade-off decisions and build consensus
  • Sound understanding of the customer segments and the competitive market
  • Understand and interpret complex business and risk requirements
  • Proven ability to prioritize competing demands
10

Ccb-risk-customer Analytics Resume Examples & Samples

  • Experience with some or all of: SAS, R, SQL, Hadoop and Greenplum
  • Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence
  • History of making an impact, developing and executing on strategies and delivering superior results in both the short and long term
11

Senior Analyst, Customer Analytics Resume Examples & Samples

  • Participate in strategic marketing decisions relating to customer needs, preferences, behaviors and segmentation, as well as advertising, direct marketing, and digital marketing efforts
  • May be responsible for leadership, coaching, development and superior performance of a group of 2 onshore team members and about 3-5 offshore team members
  • Minimum of 5 years of relevant work experience
  • In lieu of degree, 9 years of related work experience required
  • Masters’ degree or MBA
  • Superb verbal and written communication skills
12

Senior Market Intelligence & Customer Analytics Analyst Resume Examples & Samples

  • Work with business stakeholders on assigned projects to understand and document business objectives
  • Develop the methodologies, select the sources and the tools that will best address their needs
  • Aggregate and distill data from various internal and external sources into specific, reliable opportunity sizes that can serve as a base for product, business dev, and marketing planning
  • Get personal with customers and prospects to understand their dreams and wishes, their headaches and the things that motivate them
  • Challenge yourself and the organization to develop the strategies and tactics that will make a difference
  • Evangelize your findings throughout the org chart, inspiring execs to adopt bold strategies, and helping sales & marketing teams execute them effectively
  • 6 signs that you are the right candidate
  • You like to tackle the big questions: You’d rather work on an issue than an assignment. You love figuring out the complex ramifications of a problem, understanding the real questions behind the question. You love to plan, try, fail and adapt the plan
  • You see clearly through complex data: Within 10 minutes of opening a monster excel file you just exported from Business Objects, you’ve pivoted it beyond recognition, and you’ve spotted 3 caveats and know how they affect the rest of the data. You’ve highlighted in green the six cells that actually matter and you can translate them into plain English or a relevant graph
  • You’re curious about people: You can harness the power of data, but you also know its limits. You know when you need to do a reality check. You are proficient with the modern marketer’s tools and can collect great personal insights online. You can also pick up the phone and have an engaging talk with a customer to run through some of your ideas or take them out for coffee and dig deep into the pains and joys of their work life
  • You want to develop innovative strategies: When you have developed data-driven knowledge about the market and real insight into the customer’s mind, you are excited to bring the two together. You’re able to articulate a clear strategy that will effectively capture customer attention and revenue
  • You aren’t satisfied until strategies become real: You know that it takes more than a PowerPoint to change the world. You’re ready to roll up your sleeves and get things done with sales and marketing teams. You know that an early win can be more convincing power than a bold forecast
  • You thrive on change: You adapt to the environment around you. Where others see a threat to the status quo, you see an opportunity to innovate and get ahead of the curve. More than that: you want to be the person who sparks change in the way you get the job done, the way Autodesk addresses its customers, and the way customers imagine, design and create a better world
  • 10 Things That Describe You
  • Customer focused
  • Strong communicator
  • Data-driven
  • Marketing innovator
  • Creative thinker
  • Problem solver
  • Impact driven
  • Decision driver
  • Undergraduate degree in Business, Marketing, Engineering, Stats, or a related field
  • US equivalent MBA a plus
  • 5-8 years of experience, preferably in roles combining analytics, research, marketing and strategy
  • Fluency in Microsoft excel & PowerPoint, Business Objects. SQL a plus
13

Director of Customer Analytics Resume Examples & Samples

  • Develop and manage timelines for creating and executing all integrated marketing campaigns. Timelines are inclusive all internal and external participating responsibilities
  • Responsible for trafficking all creative elements through Bloomingdale's approval process and our external partners
  • Act as liaison with Legal Office on all contracts and contest/sweepstakes rules and regulations
  • Work with Creative Team to develop campaign ads and collateral, including direct mail, promotion communications, and invitations
  • Create briefs for all projects, ensuring that strategy is in support of overall Brand image and Program objectives. Present to Creative Team and engage in discussion regarding concept development
  • Partner with Account Executives and Production Department to ensure cost-effectiveness of all printing
  • Manage and coordinate the production of all Bloomingdale's philanthropic items with creative/special projects teams from concept, purchasing through execution and delivery to the stores
  • Help coordinate the 3rd Avenue Calendar Window Video elements. (Fashion Packed Calendar, Public Appearance, partnership material)
  • Work closely with multiple areas of the omni-channel marketing team to ensure all pertinent information is communicated and carried over to each element of the project
  • Maintain expense / budget report
  • Must be able to work closely with multiple areas within the organization; and all levels of management
  • Must be able juggle several different projects simultaneously and decipher priorities on a daily basis
  • Independent worker, self-starter, resourceful, strong problem solving skills, detail/process oriented
  • Must have strong Presentation / Power point skills
  • Minimum 4 year college degree
14

Senior Customer Analytics Specialist Resume Examples & Samples

  • Process and analyse large datasets to produce clear findings and recommendations
  • Develop analytical models to predict and optimise the performance of operational processes
  • Communicate analysis to stakeholders across the business
  • Collaborate closely with engineering teams to guide the development of our data infrastructure
  • Strong command of SQL (or similar tools e.g. SAS, SPSS)
  • Strong Excel skills (lookups, pivot tables, etc.)
  • Knowledge of R or other object-oriented programming languages (desirable)
  • Understanding of predictive modelling techniques (desirable)
  • Experience of analysing data and drawing and presenting conclusions
  • Evidence of working directly with different functions within an organisation
  • Prior work experience in eCommerce, consultancy or marketing (desirable)
15

Analyst, Customer Analytics Resume Examples & Samples

  • Evaluate opportunities to improve customer profitability, targeting efficacy, offer appeal, channel preference, product and service bundling, customer loyalty, etc
  • Minimum of 2 years of relevant work experience
  • In lieu of degree, minimum of 6 years of related work experience required
  • Solid knowledge of statistical tools (e.g., SAS, SPSS) and techniques (linear regression, time series analysis, factor analysis, cluster analysis etc.) used for modeling, segmentation, and in-depth data analysis
  • Bachelor’s Degree, preferably in a quantitative (statistics, economics, operations research, etc.) Masters’ degree or MBA
  • Ability to work in a fast-paced, multi-tasked environment
16

Senior Manager Digital Customer Analytics Resume Examples & Samples

  • Minimum of eight years proven and progressive analytic experience or equivalent, preferred in Customer, Product, Marketing, Channel or Risk analytics
  • Master’s degree required in business, statistics, economics, finance, information systems or operation research field
  • Strong knowledge of competition, products offered in the financial services industry, plus laws and regulations affecting their delivery
  • Strong knowledge and experience in SAS is required, plus working knowledge of SQL, UNIX and Mainframe is preferred
  • Knowledge of Geographic Mapping tools would be beneficial for specific analytic projects
  • Strong PC literacy, specifically MS Excel, MS Powerpoint
17

Director, Customer Analytics Resume Examples & Samples

  • Collaborate cross-functionally (Marketing, Finance, Stores, IM) to set growth targets and inform priorities for CRM analytics team
  • Lead team responsible for developing catalog circulation-analytics & customer-level planning, including file scoring for house and prospect circulation to meet financial goals
  • Lead CRM campaign analytics and reporting including LTV, CTA and ROI with focus on identifying opportunities to improve program performance
  • Develop and present reports focused on customer and campaign performance. This includes reporting on specific KPI trends and performance by campaign
  • Develop analytic approach & partner in the execution of customer acquisition programs including catalog, digital, retail and other direct response vehicles required to achieve brand growth goals
  • Increase customer LTV through development of customer contact strategies informed by rigorous testing and customer analytics in areas of retention, frequency and spend
  • Drive increased ROI of direct response marketing program through development of lower cost pieces and more efficient mix of direct response vehicles in digital and physical channels
  • Develop, manage and report testing programs that facilitate actionable customer insight with predictive ROI outcomes for customer segments
  • Develop customer models, statistical models and financial models as appropriate based on project and business need
  • Demonstrated ability to effectively lead, develop and retain a high-performance team
  • Strong written and oral presentation skills
  • 8+ years of experience in a CRM environment: catalog experience strongly preferred
  • Expert understanding of direct, digital, catalog and lifecycle marketing in retail environment
  • Exceptional problem solving, technical and data-analysis skills
  • Detail-oriented with ability to balance detail and holistic, strategic perspective of business
  • Collaborative team player with strong interpersonal and partnering skills, flexible, thrives in environments of ambiguity
  • Excellent organization and time management skills; able to balance and prioritize multiple projects simultaneously
  • Able to communicate complex concepts to various audiences in a clear and concise manner
  • Proficiency with SAS or SPSS and advanced Excel
  • MBA desired, but not required
18

Head of Customer Analytics Resume Examples & Samples

  • Identify key trends that arise from the analysis of customer data and work with other areas in CVM to ensure they are planned into BAU activity where appropriate
  • Driving additional activity based on customer information to enhance the customer experience in conjunction with Customer Experience and Customer Relations team. This encompasses but is not limited to developing scripts, cutting lists and allocating leads to the most appropriate channel, where this has not been covered by the Region
  • Oversight and allocation of leads to channels based on analysis MI to support activities in achievement of RBWM objectives and plan
19

VP-director, Customer Analytics Resume Examples & Samples

  • Lead the development of an analytic vision that supports company-wide sales strategies, product development, and other investment goals
  • Foster effective business relationships throughout the organization to enhance collaboration and partnership; manage and coordinate relationships within the Personal, Commercial and Wealth teams
  • Take a leadership role in strategy development, plan presentation and sell-in
  • Support strategic decision-making and initiatives
  • Manage the interaction between Marketing and Tech & Ops
  • Strong Customer Focus: put customers at the center
  • Works Collaboratively: ability to work with business partners and team members at all levels, an effective communicator who delivers clear and relevant messages, balances listening and talking
  • Delivers Results: a problem solver who is solution oriented and able to craft innovative solutions to outperform the competition
  • Makes Things Happen: a strong performance management orientation with great communication skills, sets high standards, models innovative behaviors and energizes the team to win
  • The Director works closely with the Heads of the Lines of Business and their direct reports in a consultative and supporting role to provide both strategic and tactical solutions to business problems
  • The Director works cross functionally with other support departments in team projects and strategy execution, including Headquarters, Finance, T&O, Product, Risk and the OSM
20

Manager Performance Measurement & Customer Analytics Resume Examples & Samples

  • Customer Analytics
  • Use analytical tool or programming application to query Contact Centre call recordings
  • Conduct analyses to identify Customer needs and pain-points, cost drivers and other opportunities to improve Customer experience, operational efficiencies and financial performance
  • Work with various stakeholders to summarize findings and prepare recommendations for Executive Management
  • Metrics and Analytic Support & Alignment
  • Work in collaboration with IB Contact Centre Heads to ensure KPI alignment across IBCC (Centres, Toronto and Division)
  • Provide ongoing value-added analyses and recommendations to Executive Management under a complex business environment
  • Oversee the timely collection of financial and operational data from business and support groups
  • Manage the compilation of monthly results and ensure their completeness and accuracy
  • Present monthly results to Senior Management
  • Establish and maintain databases / systems to efficiently manage the report generation process
  • Maintain effective control over Business Line reporting
  • Develop and maintain strong business relationships with multiple stakeholders across cross-cultural
  • Post-secondary education in a business related discipline, quantitative field or equivalent work experience
  • 3+ years of industry experience in Contact Centres
  • Fluency in Spanish is required, with exceptional oral and written communication skills
  • Ability to write query scripts using any programming language, such as Python, SAS, MatLab
  • Advanced knowledge of databases and spreadsheets, including MS-Access, MS-Excel and VBA coding
  • Experience with financial analysis and reporting
  • Proven ability to develop and maintain strong business relationships and collaborate across diverse cross-cultural groups and cross-divisional team relationships
  • Ability to work quickly and accurately under pressure for sustained periods of time, juggling multiple priorities
  • Demonstrated strong interpersonal skills and the ability to work effectively and diplomatically in a team environment with peers and superiors across organizational lines
21

Mgr Customer Analytics Resume Examples & Samples

  • Lead bank-wide (cross-LOB) effort to evolve and enrich the customer datamart to support analytics, predictive targeting, propensity modeling, and trigger strategies to inform customer-centric (one to one) marketing programs throughout a client’s lifecycle (acquisition, on-boarding, cross-sell, retention, loyalty, and win-back)
  • Promote Data driven decisions
  • Integrate web and online data in the customer analytics datamart
  • Develop the integration of data with the CI intelligence infrastructure (Campaign Manager, Multichannels CRM, BigData infrastructure)
  • Identify and size market opportunities
  • Provide customer, product, and segmentation analysis
  • Facilitate the creation, automation, and delivery of marketing campaigns through all available channels (mail, email, web, statements, ATM, sales platform)
  • Provide campaign management (CRM) support and back-end analysis
  • Report total bank, market, household, customer, product, service, and pricing trends
  • Provide actionable, analytical insights
  • Bachelor degree required. Masters degree preferred. (Data science, Statistics, Marketing, Finance)
  • Minimum of 20 years experience
  • Business intelligence and analytics experience in a financial institution with a proven track record of building complex business models, campaigns, and programs
  • Proven ability to interact with senior management in a leadership role/capacity in order to implement the necessary programs within the Compass organization
  • Proficient in the use and administration of Databases, Advanced programming and data-mining proficiency preferred
  • Strong strategic, analytical and problem solving skills are essential to manage complex projects in a multi-task environment
  • Demonstrated experience in project planning and execution, change planning and management, market analysis
  • Strong strategic planning skills
  • Strong leadership abilities, especially in collaborative and fast-paced environments
22

Director, Customer Analytics Resume Examples & Samples

  • Analyze customer as well as vehicle performance across product, time and channel dimensions to identify patterns and recommend opportunities to maximize marketing investments
  • Create customer attribution model, customer scoring, clustering, and basket analysis capabilities to better understand overall customer behavior
  • Prepare customer and channel forecasts, incorporating trend analysis
  • Work with consumer insights team to create compelling dashboards of qualitative and quantitative data to bring overall insights to product and marketing teams
  • Ability to listen and communicate effectively and to lead persuasively ;able to communicate complex concepts to various audiences in a clear and concise manner
  • Demonstrated leadership responsibilities in a management role
  • Ability to translate broad direction into technical analytical requirements
  • Ability to manage numerous projects simultaneously
  • Demonstrated sound business judgment and broad business acumen
  • Must work well with multi-functional work teams and be willing to take initiative
  • Must be able to respond calmly to demands of internal customers and work in pressure situations
  • Strong project management, time management, organizational and consultative skills
  • 3+ years financial analysis and/or operations analysis required, with knowledge of SAS, SPSS, PowerPivot, Excel, SQL and VBA or demonstrated ability to rapidly gain fluency in a comparable context, such as statistical software, computer programming languages, or databases
  • Knowledge of data analysis and data modeling techniques to coordinate with the Data Warehouse team to establish, modify or maintain complex data structures and their associated components to increase efficiency of structures and components
23

Senior Analyst, Customer Analytics & Tools Resume Examples & Samples

  • Own and manage individual projects (or components of larger initiatives); specifically issue identification, data analysis, process/tool definition and creation, and change management
  • Deliver formal trainings across all levels of the organization
  • Manage and report results of testing programs that facilitate actionable customer insight with predictive ROI outcomes for customer segments
  • In partnership with brand and Inc IT, build the tools necessary to address a variety of opportunities
  • Demonstrated problem solving, technical and data-analysis skills
  • Ability to listen and communicate effectively and to lead persuasively ; able to communicate complex concepts to various audiences in a clear and concise manner
  • Excellent communication/presentation skills that can be adapted to audiences from staff to senior executive level
  • Advanced knowledge of Excel, PowerPivot, Access, and PowerPoint or demonstrated ability to rapidly gain fluency in a comparable context, such as statistical software, computer programming languages, or databases
  • Retail or Customer Analytics experience preferred
24

Analyst, Customer Analytics Resume Examples & Samples

  • Serve as a member of the Customer Analytics team and focus on continuously enhancing and evolving our strategic and ad hoc analytics capabilities
  • Develop creative approaches and methodologies to answer critical business questions, evaluate new product and service opportunities, and assess market potential
  • Promote an environment that supports diversity and reflects the M&T Bank brand
  • Bachelor’s Degree, preferably in a quantitative (statistics, economics, operations research, etc.) or related field
  • 2 years of relevant work experience
  • In lieu of degree, 6 years of related work experience required
25

Director of Customer Analytics Resume Examples & Samples

  • Bachelor’s degree in liberal arts or a quantitative discipline (math, computer science, engineering, econometrics). MBA or master’s degree preferred
  • Strong skills in MS Excel, Powerpoint, and Word
  • Understanding of machine learning, data mining, mathematical modeling, regression analysis
  • Knowledge of relational databases and SQL skills preferred. Loyalty program management a plus
  • Data visualization experience, Tableau, a plus
  • Experience with analytical software packages such as R
26

Director of Customer Analytics Resume Examples & Samples

  • Deep experience developing and delivering customer performance metrics: customer value and loyalty modeling with techniques such as segmentation cluster analysis, churn, attrition and propensity models and lifetime value assessments
  • Familiarity with third party data sources such as Experian, Axiom or D&B for both individuals and enterprise
  • Preferred familiarity with both individual/end consumer and enterprise/business segmentation schemas
  • Required experience in working to synthesize analytics results with market research for robust segmentation development
  • Leading Change (Be an Agent of Change) – Change leadership is what you do! You proactively identify opportunities to align team goals with organizational change. You’re great at building support for change because you communicate with conviction and you help those around you to see both the rational and mechanics for business changes and how to adapt accordingly
27

Customer Analytics Administrator Resume Examples & Samples

  • Degree qualified in Business/Technology/Marketing/Mathematics or related quantitative discipline is mandatory
  • Experience with CRM is mandatory (preferably Salesforce), Marketing Automation software, Oracle and BI programs
  • Experience with VOC software would be well regarded
  • Advanced Excel skills
  • Some previous experience in a similar role
  • Demonstrable compliance and data management and governance experience
  • Customer Segmentation, Propensity Models, statistical insight analysis or other predictive analytics (desirable)
28

Entry Level Customer Analytics Analyst Resume Examples & Samples

  • Create detailed multi-function project plans. Lead multiple projects to ensure project participants and decision makers have appropriate information, work with project business owners and senior leadership to ensure decisions are made within the necessary timeframes
  • Interpret data and analyze results using statistical techniques and provide ongoing reports. Identify, analyze, and interpret trends or patterns in complex data sets
  • Support and ensure appropriate implementation of marketing campaign management, CRM systems and other relevant tools. Continuously improve our marketing automation processes, from data cleansing to reporting and program management. Work with the marketing and merchandising team to develop testing plans and monitor results to ensure maximum return on campaign efforts
  • Communicate project status, risks, and key decisions to team members, stakeholders and senior leadership
  • Performs additional duties and projects assigned. Consistent regular scheduled attendance is considered an essential function of this job
  • Bachelor’s Degree in Business, Marketing or related area
  • Minimum of 1-2 years in a project management or analytical role
  • Strong analytical skills – Experience with reporting and data analysis, familiarity with SAS and SQL highly preferred. Experience with Tableau a plus
  • 1-2 years analyzing data, drawing conclusions and making recommendations; consulting experience is a plus
  • 1-2 years experience reporting and analyzing all marketing campaigns as they relate to the profitable acquisition of new customers and existing customers preferred
  • Proficiency with Word, PowerPoint, and graphical applications and advanced Microsoft Excel skills
  • Exceptional communication and presentation skills with ability to deliver complex data analysis and actionable insights in a way that business stakeholders can understand and use
  • Strong interpersonal skills with the ability to work with all levels of management and outside agencies Ability to establish positive working relationships across the organization
  • Ability to set and achieve priorities and meet tight deadlines within a fast-paced, ever-changing retail environment
  • Must be a motivated self-starter with excellent organizational, multi-tasking, and project management skills
29

VP, Customer Analytics Resume Examples & Samples

  • Bachelor’s degree in Marketing, Economics, Business, Math, or Statistics
  • MBA or other graduate degrees preferred
  • 10+ years of relevant experience in customer centric retailing
  • Experience in successfully influencing senior executives
  • Strong experience in driving insights based on broad array of data such as – Syndicated (IRI / Nielsen) data, Customer Data and Segmentations, Financial Data
  • Proven ability to drive objective analytical recommendations with a broad audience
  • Experience with Retail or CPG industries preferred
30

Senior Analyst Customer Analytics Resume Examples & Samples

  • Demonstrated experience of using SAS, R or similar tools for data analysis, structuring, transforming and visualising big data (strong SQL skills are a must)
  • Clear presentation of findings and guiding next steps at various points
  • Focus, resilience and great at problem solving. Able to easily continue to find solutions and work towards goals when setbacks/ hurdles occur
  • Ability to build statistical models (such as linear regression, logistic etc.) and customer segmentations
  • Willing to learn new frameworks and languages required for the task
  • Hands on use of big data in large projects using Hadoop or Spark is a bonus
  • Minimum of a Bachelor’s degree in Statistics, Mathematics, Economics, Data Science or similar and 3+ years working in an advanced analytics role OR a Master’s degree in one of these subjects and at least a year of work experience
  • Past experience in a role focused on customer insight, statistical modelling, data science or similar
  • Solid understanding of online marketing, preferably in a past or current role
  • Experience of the travel industry a bonus
  • LI-KG
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31

Head of Customer Analytics Resume Examples & Samples

  • Leading and developing a small team of data analysts to deliver improved customer engagement and outcomes through the smart use of data analytics
  • Developing and deliver the operational plans to make sure that the distribution channels becomes significantly more analytically driven, making more use of our data assets and self serve tools to allow for better decisions internally and better outcomes for our customers
  • Creating accessible and actionable analytics insight to support decisions at senior management level
32

Data Analyst, Customer Analytics Resume Examples & Samples

  • At least 3 years’ experience leading data initiatives
  • Expert level knowledge across a range of analytical technologies – SQL, Qlikview, Tableau, SAS, SPSS, Hadoop, HBase, Hive, Pig, R, Java, Julia, Scala, Spark, Python or C++
  • Customer Relationship Management: Understands the need to provide the highest quality customer service, delivers to customers’ expectations acts with total integrity
  • Results Focus: Maintains a clear focus on agreed goals to achieve expected results
  • Teamwork and Collaboration: Contributes fully, shares information, ideas and opinions – never a solo player
  • Problem Solving and Decision Making: Understands that a problem exists, contributes to creating options to resolve issues, refers appropriately
  • Planning and Priority Setting: Follows a systematic approach to prioritising and delivery
33

VP, Customer Analytics Resume Examples & Samples

  • Bachelor’s degree required; advanced degree in data science, mathematics, statistics, or related discipline preferred
  • Twelve or more years of work experience in Sales & Marketing Analytics, or a related discipline, demonstrating progressive career growth and a pattern of exceptional performance
  • Experience working within large, distributed customer and marketing-led organizations
  • Experience leading teams with advanced modeling skills (regression, neural networks, machine learning, social/text analysis, etc.)
  • Diverse and up-to-date experience using data science methodologies and technologies to generate practical business solutions
  • Solid track record of business leadership
  • Ability to influence change and develop strong interpersonal relationships with team members, and key stakeholders
  • Proven ability to lead cross functional teams in support of specific business priorities
  • Skill and experience distilling a set of data and translating findings into innovative, profitable, executable, and operationally feasible solutions
  • Experience leading projects to deliver against major initiatives
  • Experience managing projects through a highly matrixed and relationship-based organization
  • Team player that works well with counterparts from various functions/departments and has the ability to influence the work of counterparts without direct reporting accountability
  • Strong ability to manage multiple stakeholders
  • Must possess strong knowledge and practice of core principals in brand strategy, conceptual design, execution
  • Exceptional skill in problem solving and leveraging resources to optimize capabilities
  • Establish a network of internal partners to gain cross-functional leadership perspectives
  • Establish a trusting relationship with Brand, Marketing, Digital, IT, Operations, and Global Design
  • Partner closely with CXI leadership team (Consumer Insight, CRM and Data Strategy, Analytics, and Customer Experience Strategy) to ensure the ongoing effectiveness of Marriott’s customer experience innovation engine
  • Hire, retain, and continually develop diverse, high caliber talent that makes a strong, positive impact on the organization
  • Setting and maintaining high standards for team and individual performance
  • Develop effective organization structures and operational processes
  • Providing timely coaching and feedback
  • Making and rewarding distinctions in performance
34

Customer Analytics Specialist Resume Examples & Samples

  • Use statistical methods to analyze data and generate business insights
  • Interpret data and analyze results using statistical techniques
  • Use data to create models that identify profiles and depict trends in the customer base
  • Statistics and experience using statistical packages for analyzing large datasets (Excel, SPSS, SAS etc)
  • Reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
  • MS Office Applications (Word, Excel, PowerPoint)
  • 2-3 years working experience as a data analyst
  • Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy
  • Strong project management skills; able to deliver multiple requirements on time
  • Demonstrated leadership potential; able to influence others despite the absence of reporting relationships
  • Flexible, results oriented and able to work in a fast-paced environment
  • Very good oral, written communication and interpersonal skills
  • Ability to interact with and influence people at all levels of the organization
35

Senior Analyst Customer Analytics Resume Examples & Samples

  • Demonstrated experience of using Python, R, or similar tools for data analysis, structuring, transforming and visualising big data (strong SQL skills are a must
  • Some exposure to SAS a bonus
  • Work Experience and Education Guidelines
36

Senior Analyst Customer Analytics Resume Examples & Samples

  • 20% Conduct thorough analyses to develop / validate customer segmentations, develop and compute customer value metrics and support ad-hoc requests for data extraction, modeling and analysis
  • 20% Conduct analyses to understand the impact of potential business decisions on customer spend and profitability
  • 15% Analyze transaction data to identify purchase triggers and indicators for future value customers in support of predictive / forward looking marketing campaigns
  • 10% Work across the organization and leverage cross functional teams to provide expert analytical support
  • 10% Interpret statistical and analytical results and make suggestions for modeling improvements
  • 15% Prepare clear and concise reports, charts, tables and presentations to support business decisions
  • 10% Validate and update models periodically and provide validation reports
  • Must be eighteen years of age or older
  • Must pass pre-employment test if applicable
  • Bachelors degree in Statistics, Industrial Engineering, Operations, or equivalent
  • Previous retail experience strongly preferred
  • Strong verbal and written communications skills at all levels; ability to communicate technical information to both technical and non-technical audiences
  • Proven ability to analyze, evaluate and interpret complex data using advanced statistical, econometric and quantitative analysis techniques
  • Knowledge of quantitative theories and techniques and their role in a business context
  • Skilled in the use of statistical programming software, especially SAS
  • Proficient with PowerPoint, Excel, Access
  • Skilled in translating business questions / problems into analytical models
37

Customer Analytics Mgr Resume Examples & Samples

  • Collects internal and external data for assigned projects by collaborating with the Director, Customer Analytics, GRC business unit leaders and experts to identify and prioritize opportunities and challenges for customer segments and/or lines of business; outlining the data required to fully evaluate customer characteristics and make informed business decisions for assigned projects; identifying internal sources of data to support research and analysis (e.g., existing customer data); identifying and acquiring external data (e.g., secondary research); and managing the coding and/or extraction of data to conduct thorough analysis
  • Extracts business insight through data analysis by utilizing software tools to streamline the building of models and other analytics; managing and reviewing data analysis projects by external consultants; developing and analyzing statistical and mathematical models to identify business opportunities; developing forecasting models for customer growth, loss and usage based on historical customer behavior, existing market data and business projections; identifying key trends and data characteristics within the data sets that require further investigation; and using analysis to generate business recommendations (e.g., to improve profitability, to find more customers)
  • Participates in organizational activities to meet or exceed company objectives by coaching and mentoring associates and external consultants; applying subject matter expertise to special projects that will help drive profitability and growth; participating in thought provoking, strategic discussions with executive leadership; sharing analytical, quantitative, and conceptual insights to enhance the organization; identifying opportunities to collaborate across divisions and/or leverage partnerships; collaborating with peers to develop and advance company-wide initiatives and strategies; participating as a functional member of WK committees; and serving as a key business leader, thought leader, and a role model within the organization
  • Collaborative and well versed in developing relationships at all levels of an organization (including C-level executives)
  • Demonstrates advanced knowledge of analytical software (e.g., SAS, SPSS R, Matlab or related packages)
  • Experienced in applying statistical methodologies (e.g., linear regression, logistic regression, CHAID/CART)
  • Demonstrates advanced knowledge of software (e.g. SQL, Access, Excel) to manipulate data
  • Demonstrates strong analytical and problem solving skills
  • Exceptional communication skills, both written and verbal. Strong presentation skills
  • Highly motivated, organized; proactive self-starter and a team player
  • Able to work independently after receiving strategic direction; able to handle multiple projects at one time
38

Accenture Digital Customer Analytics Manager Resume Examples & Samples

  • Bachelor's Degree in Mathematics, Technical Science, Computer Science (or equivalent) or Engineering
  • 8 years overall experience
  • Well versed in entire software development lifecycle; architecture, design and implementation
  • Broad knowledge of all technology architecture considerations (performance, scalability, maintainability, deployment, operations, technology infrastructure)
  • Strong communication skills (verbal and written) with an entrepreneurial bias
  • Deep Data Integration skills to support Accenture's data and analytics agendas, including skills such as ETL, Informatics, and data migration
  • Familiar with architecture principles, design patterns, best practices and troubleshooting techniques
  • Minimum 5 years’ experience with one or more of the following
  • Architecture: BI, noSQL, Big Data, ETL, Unstructured data, Service oriented architecture and new technical advancements
  • Applications: MongoDB/Hadoop, Storm, elasticSearch
  • Languages: Java, C++, HTML5, Javascript, CSS3
39

Customer Analytics Senior Manager Resume Examples & Samples

  • 10+ years of consulting business experiences, deep Industry(1-2) knowledge and consulting services experiences
  • Excellent communication and presentation skills in both Mandarin and English. Experiences and proven record in C suite dialogues
  • 8+ years experience in analytics, business intelligence and data management planning and implementation with proven record industry client projects services
  • Deep understanding of big data framework, value proposition, solution and key technologies and products. Hands-on skills in Industry solution development and PoC implementation
  • Holistic view of Enterprise architecture and IT system architecture and capability to explain to both IT and business function people a strong plus
  • Bachelor degree or above from top-tier university
  • Major in quantitative discipline, such as Statistics, Math, Econometrics etc. are an advantage
  • Proven ability to build, manage and foster a team-oriented environment
  • Excellent leadership and mentoring skills
  • Proven senior client communication and relationship building skills
  • Proven skills in developing high quality proposal and deliverable
  • Proven skills in developing PowerPoint communication materials, e.g., Steering Committee, Point-of-View and Discussion decks
40

Utilities Customer Analytics Senior Manager Resume Examples & Samples

  • Drive proactive management consulting opportunity pursuits generating new sales focusing on Customer Analytics opportunities
  • Drive reactive Customer Analytics management consulting opportunity pursuits (sole sourced or RFP based)
  • Develop Customer Analytics proposals to clients (sole sourced or RFP based) focused on selling our management and industry consulting offerings
  • Manage the sales/proposal process end to end
  • Mentor and lead people at levels below Senior Manager (in sales and delivery projects)
  • Actively contribute to recruiting of additional talent to our AECS Industry Consulting practice
  • Weekly travel Monday through Thursday
  • Capture business requirements and help shape the data, technology, process and people capabilities required to sustain customer analytics offerings
  • Work with client stakeholders to identify business issues and determine value adding analytics solutions for the client
  • Translate business issues into specific requirements to develop the analytics solutions
  • Ensure successful deployment and adoption of solution at clients
  • Lead client engagements focused on Op model development, business case development and other important analytics activities such as pricing analytics, customer analytics, performance management, etc
  • Lead major insights projects within large customer analytics engagements
  • Develop high quality deliverables; lead project team(s) in deliverable development; apply Accenture standard methods for performing strategy assessments and implementations; work closely with leadership to set strategy and define success criteria for any project
  • Leverage industry knowledge that is shaped by analytics exposure through prior experiences
  • Experience in: Customer Analytics project sales and delivery
  • Experience with Sales and/or Delivery and/or Operational roles where emphasis has been on defining and delivering customer analytics solutions
  • Good understanding of the entire lifecycle of Customer focused organizations including Marketing, Sales, Service and Field Service with deep experience in Customer Analytics
  • Experience with ownership and accountability for financials and business outcomes
  • Experience selling and delivering Management Consulting projects (to external or internal clients)
  • Experience with development of future vision, gap assessment, business case development and road map creation
  • Experience with the application of advanced data techniques to solve client problems (machine learning, optimization, data mining, etc.)
  • Experience from one or many of the following functional areas
41

Customer Analytics Manager Resume Examples & Samples

  • Manage a program of activity which ensures HSBC will become the best place to bank
  • Manage and escalate risks and issues relevant to activities allocated as appropriate. Research and shape the Bank’s thinking, providing an external industry view, which proactively challenges and shapes our thinking
  • Sustain the delivery and alignment of ‘superior service’ to ensure a ‘joined up’ service proposition is delivered across the Bank
  • Formulate and shape the communications strategies which will support and embed the culture, capabilities and engagement required to deliver superior service
  • Strong analytics abilities (e.g. of customer data, to identify root causes of complaints / satisfaction drivers) 
  • Advanced excel skills (e.g. expert at manipulating and presenting data) 
  • Excellent planning and organizational skills 
  • Strong communication and influencing skills 
  • Good project management 
  • High energy, attitude of continual improvement and openness to change 
  • Flexibility to travel occasionally to NYC / workshop locations (e.g. 4 times per year) 
  • Management information or customer analytics background, potentially within a Finance or Marketing function 
  • Experience in customer-facing role/s at HSBC 
  • Excellent PowerPoint skills
42

Customer Analytics Resume Examples & Samples

  • Interface regularly with key stakeholders across the Santander organization
  • Provide analytic leadership in the consolidation of multiple data assets to create unique customer and product segmentation across multiple business lines
  • Lead the development of new customer response and propensity models to enhance targeting and marketing campaign effectiveness
  • Support strategic and ad hoc analysis to quantify what, how, and why of customer behavior shifts are occurring
  • Partner with the business to derive and maintain product-level profitability, customer-level profitability and customer lifetime value
  • Utilize innovative analytic methods to develop unique customer and product segmentation, client target models and profitability analysis that optimize business investment and resource decisions
  • Seasoned professional contributor, with full ownership for one or more processes, reports, projects, procedures or products. Manages and is responsible for growth of large accounts. Works independently with limited supervision
  • Working knowledge of structured programming languages including SAS, SQL, Unix and/or R
  • Between 2 to 6 yrs. of experience in predictive analysis and statistical modeling in the financial services industry with 3+ years of total experience required
  • Working knowledge of structured programming languages including SAS, SQL, Unix and/or R; exposure to unstructured data platforms including Hadoop and/or Cloudera preferred
  • Bachelor’s Degree required in quantitative areas (Statistics, Mathematics, Operations Research, Economics, or other related fields). Advanced degree is preferred
43

Senior Analyst, Customer Analytics Resume Examples & Samples

  • Support or refute hypotheses regarding consumer behavior through data extracts
  • Complete Ad-hoc data requests to support internal partners and external clients
  • Develop and maintain studies, profiles, analyses, and reporting on consumer behavior
  • Arm internal and external sales force with impactful knowledge of consumer profiles and behavioral trends
  • Bachelor’s Degree in Statistics, Mathematics, Computer Science, Information Systems, Economics, Finance, or other quantitative field; or equivalent knowledge or experience
  • Minimum of 2 years of experience in driving marketing and business decisions through data extracts, queries, and analysis
  • At least 2 years of experience utilizing consumer data to drive insight into consumer behaviors and profiles
  • Demonstrated expertise in Microsoft Excel and Access
  • Experience with SAS & SQL
  • Analytical and quantitative approaches; logic and reasoning; attention to detail and self-auditing
  • Microsoft Excel (proficient in core capabilities, as well as, pivot tables, macros and analytical functions)
  • Microsoft Word and PowerPoint
  • SAS and SQL Coding
  • Relationship building, personal leadership, conflict management and negotiation
  • Meet established deadlines and work on multiple projects simultaneously
  • Effectively identify, approach and resolve problems
  • Embrace and/or initiate change; Adapt to new tools and processes
  • Communicate effectively in both written and verbal form; Productively interact with all levels of management and various individuals across the company
  • Push oneself to contribute, improve and excel
44

Customer Analytics Associate Resume Examples & Samples

  • Drafts background sections of project proposals and client reports as directed by Research Leader
  • Formats content for client presentations (reports, technical memoranda, posters, presentations, and manuscripts)
  • Performs basic data quality reviews
  • Support any system development and analytical projects
  • Process data quality changes
  • Support analysts and managers with other larger-scale database marketing projects
  • Performs basic data analysis and reporting
45

Senior Analyst, Customer Analytics Resume Examples & Samples

  • Partner closely with marketers and other teams across the organization to identify impactful business problems and translate them into structured analyses, actionable insights, and reports and dashboards
  • Manage multiple data sources, identify gaps in the data capture process and make suggestions on improvements/enhancements for data hygiene
  • Perform exploratory and predictive analytics, analyzing customer/prospect behavior patterns, using a combination of descriptive statistics, segmentation techniques, and predictive modeling to inform and impact business decisions
  • Create both standardized, automated reports as well as more in-depth analyses on customer behavior
  • Synthesize qualitative and quantitative customer data from multiple sources to develop comprehensive longitudinal views of customer behavior and attributes
  • Frame the right questions, write queries and perform ad-hoc analysis to support immediate business data needs supplemented with clear recommendations and next steps
  • Strong experience with techniques such as A/B testing, predictive modeling, acquisition and churn analysis, clustering, segmentation
  • Design, analyze, and interpret the results of experiments to test the validity of hypotheses around user acquisition and retention strategy
  • Master's degree in Economics, Statistics, Marketing, or Business Administration preferred
  • 3-5 years of experience in data / customer analytics role, preferably in an omni-channel retail environment
  • Experience in SQL, PL/SQL or other programming languages
  • Experience with statistical software (ex. R, SAS, SPSS) to conduct statistical analyses (regression, multivariate testing, segmentation etc.)
  • Advanced knowledge of MS Office Suite and familiarity with business intelligence and reporting software (Business Objects). Knowledge of Tableau and Adobe Analytics/Omniture would be a plus
  • Experience with data visualization; creation of metrics reports and dashboard views
  • Ability to communicate complex concepts in a clear and concise manner to audiences from staff to senior executive level
  • Strong project management, time management, organizational and consultative skills, with ability to thrive in small team environment
46

Customer Analytics Manager Resume Examples & Samples

  • Develop and implement CRM strategies in conjunction with various stakeholders and overall corporate philosophy
  • Work closely with Revenue Management analysts/pricing, sales, operations, and IT to identify needs and manage CRM enhancement, while ensuring data integrity
  • Translate broader Revenue Management goals related to CRM into specific action items
  • Develop training methodologies for CRM and participate in training employees and the sales team in the use of CRM
  • Represent Signature Flight Support in CRM development across BBA; bring ideas and questions back to various stakeholders as needed
  • Participate on team to develop linked technologies to CRM (Loyalty, website, apps, third-party partners)
  • Develop a plan for increased field utilization of CRM database and training on changes
  • Streamline user views and dashboards to drive utilization and ease of information queries
  • Approve and prioritize CRM CMS’ (Change Management System) requests from across BBA business units
  • Manage “cases” that arise from users and customers within CRM and track, analyze, and recommend process improvements and/or additional user training
  • Develop training materials and communications to the field regarding changes to processes within CRM in coordination with the Director of Training
  • Work closely with Operations and Sales teams to develop offering within CRM to be an effective service tool to enhance the customer experience
  • Work closely with CRM administration and IT teams to add any required new fields in CRM
  • Collaborate with the Pricing Manager and CRM administration team to develop any process improvement ideas within CRM
47

Utilities Customer Analytics Resume Examples & Samples

  • Program Lead for Industry Value Team
  • Establish the program office for the Industry Value Teams for priority business segments with a focus on the creation of the industry strategy, offering and GTM core content
  • Define and manage the process for the mega deal origination by OU
  • Work with operation and IVT teams to schedule and define immersion sessions
  • Work with OU Analytics reads to define deal shape for core IVT offering
  • Work with OU lead to manage pipeline
  • Support GTM market activities for the industry value team for Products
  • Sales Origination & Business Development
  • Educate internal Accenture stakeholders about the IVT Team and offerings
  • Facilitate the development of “request for proposals” responses and contract development
  • Lead the development of businesses cases for further project sales as determined by the practice
  • Practice & Offering Management
  • Shape IVT assets to accelerate sales and delivery
  • Drive the analytics innovation agenda, including publishable thought leadership
  • Play an active role building a practice including capability development and recruiting
  • Identify and help bring into the practice talented individuals both internally from Accenture as well as externally
  • General management consulting skills
  • Demonstrated ability to lead complex programs
  • Develop deep understanding of IVT offerings
  • Commercial deal shaping
  • Client Delivery & Relationship Management
  • Minimum of 5 years of experience in Utilities Industry
  • Minimum of 4 years’ experience in the application of analytics in Customer Analytics, retail & customer operations, acquisition & retention of customers, customer cost-to-serve improvement
  • Minimum of 4 years’ experience in analytics solutions and modeling Customer Analytics problems, analytics and big data technologies
  • Minimum of 2 years of management consulting work
  • Meet travel requirements, up to 50%
  • Bachelor’s degree in quantitative discipline (Engineering, Economics, Statistics, Operations Research, Computer Science)
  • Experience with artificial intelligence and robotic process automation for transactional services
  • Exceptional presentation skills – ability to convey technology and business value propositions
  • Strong Data Management Technology background
  • Value based constructs
48

Manager Group Customer Analytics & Decisioning Resume Examples & Samples

  • Understanding of banking, insurance or financial services preferred
  • Understanding of the role of analytical marketers
  • Exposure to data management and analysis functions
  • Curiosity & a real passion for understanding “why?”
  • Creativity to see possibilities within the data & translate into decisions and actions for non-technical business users
  • Ability to visualise patterns arising out of data analysis and turn these into compelling stories
49

Director, Customer Analytics Resume Examples & Samples

  • Deeply understand Thomson Reuters Financial & Risk’s Trading propositions, their sub-components, functionalities, and value proposition to customers. Understand the nature of the relationships between our customers who act as trading partners on our trading venues. Create and maintain documentation that facilitates a deeper understanding by the entire customer analytics team
  • Deeply understand the nuances of our trading and messenger proposition related usage data, permissions data and financial data and how it can be used to inform decision making
  • Liaise with colleagues in Customer Proposition, Sales Strategy & Enablement, Market Development, and others to understand the most pertinent business questions and how answering these questions would impact organizational decision making
  • Personally mine data to extract actionable insights that help stakeholders improve business results. Influence stakeholders to take action based on compelling presentations of insights, implications, and recommendations
  • Partner with stakeholders to implement recommendations, and set up measurement strategy to track the impact of actions taken
  • Strong analytical skills and an ability to solve problems with data
  • Hands on data analytics skills, ability to personally pull and interrogate data from our Enterprise Data Warehouse and other disparate sources to answer key business questions
  • Strong business acumen and understanding of how analytics and insights support a large organisation. Ability to challenge stakeholders to refine their business questions and project proposals to be most useful
  • Strong research and documentation skills; Ability to collate and document information about product features, capabilities, commercials and data from colleagues throughout the organization. Ability to create clear documentation to inform others of this information on a regular basis
  • Strong interpersonal, relationship building, and influence skills; Ability to listen, empathize with a stake holder’s point of view, and tailor responses back appropriately. Ability to give and receive feedback in a respectful and productive manner. Ability to navigate and lead complex projects with multiple stakeholders who may have different points of view
  • Openness and willingness to learn about new aspects of our products & services, customer value propositions and advanced analytical approaches and continually update skills
  • Team player, willingness to partner well with colleagues in and out of the customer analytics team to complete projects and willing to promote other peoples work for the betterment of the organization when necessary
  • SQL and or R skills
  • Experience in the financial services industry with business-to-business preferred
  • Experience working in a B2B company with a complex product suite
50

Customer Analytics Manager Resume Examples & Samples

  • Customer Analytics: Develop customer profiles, prospects, channels, forecast and customer segmentation. Evolve a customer lifecycle model and promote the understanding of this model in the organization. Use existing models and suggest improvements based on new data sources
  • CRM Analytics: Will provide in-depth analysis of customer behavior including reasons for churn and descriptive profiling. Will be expected to generate reports from existing data and develop new insights from additional research as needed
  • Will lead an outside analytics resource (contractor) and interact with external suppliers and with internal resources and Information Technology teams. Will prepare, distribute and receive customer data files from suppliers following security guidelines
  • Bachelors degree, Graduate degree preferred in Marketing, Marketing Research, Mathematics, Statistics, Economics or Social Sciences
  • 8-10 years experience in marketing, business analysis, customer analysis, or CRM
  • Will be highly skilled at using Spotfire, SPSS or other statistical software, and Microsoft Office
  • Strong ability to translate data and analytics into stories, insight, and actionable recommendations
  • Customer analytics experience supporting a commercial business
  • Total understanding of predictive modeling and analytics
  • Customer life time value and loyalty programs experience
  • Agile and able to work in organization with evolving capabilities
51

Director, Customer Analytics Resume Examples & Samples

  • Expertise in digital analytics
  • A proven leader with the ability to coach dynamic teams to succeed
  • Should possess a clear understanding of measurement challenges in the marketplace
  • Attention to detail, accuracy, and strong problem-solving skills are crucial
  • Team player with ability to consistently meet tight deadlines
  • Candidate must be a proactive thinker who can handle multiple projects at once
  • Demonstrated expertise in Microsoft Office applications including Excel, PowerPoint, Outlook, Word
  • Can inspire innovation by uncovering new problems and opportunities
  • Ability to foster a sense of team both within the function and with the broader Marketing organization
  • 6 years of experience in a position directly managing teams
  • Incredible communicator with effortless storytelling and presentation skills; ability to think analytically and strategize to solve problems
  • Ability to understand how and why business users make decisions, and how data can enable them
  • Expert in manipulation, and accurate analysis of, complex, high volume, high dimensionality data from various sources
  • Deep knowledge and proficiency in web analytics tools (Google Analytics, Adobe Analytics, WebTrends, etc.) and understanding of tagging structures
  • Experience with Business Intelligence reporting tools (Business Objects, Cognos, Tableau, etc.) a must
  • Experience working with tools like Kantar, Comscore, EMarketer and others to glean insights and find relevant data points
  • Experience with progressive publishing tools, such as Chartbeat, Parsely, etc. and social listening tools
  • Beyond proficiency with these tools, must be able to teach executives, editors and others how to best use them to improve results; will advise on and acquire additional tools as needed
  • Experience with advanced analytics tools ( R ), data manipulation tools (SQL, Python) or visualization tools (Tableau)
  • Expertise with social media analytics, including reporting on creative for campaigns and posts
  • Solid understanding of revenue generation in digital environments, with an emphasis on the Internet advertising market and the technology behind it
  • Follows developments in aligned industries and marketplace trends
  • Solid quantitative aptitude and effective project management skills
  • Bachelor’s degree in a quantitative field: Business, Statistics, Economics, Mathematics preferred (but not required.)
52

Global Leader of Customer Analytics Resume Examples & Samples

  • Ensure alignment of data requirements and technologies with business objectives
  • Define architecture strategy and propose sourcing for Big Data and analytics technologies
  • Develop an evaluation scorecard to measure success of the Customer Analytics team
  • Sets the vision and strategy for Customer Analytics for the group and creates an execution plan to implement and execute the strategy
  • Analyzes business processes using proven frameworks, methodologies, and models for revenue/pricing management, process improvement, predictive maintenance, marketing data analytics and presents findings to stakeholders and executives
  • Enforces and improves the data governance process to build and preserve the one source of the truth
  • Product management, which includes building and maintaining the customer analytics project portfolio, requirements gathering, building and maintaining the business definitions and data dictionary. A successful candidate should excel at change management to ensure analytics proof of concepts and projects become actionable and part of doing business on a day to day basis. Successful execution of the projects will require socializing analytics throughout the group
  • Partners with senior leaders in all business units to execute analytics projects. Partnering with IT will be crucial for implementation
  • Perform market awareness for data and analytics solutions including with vendors and their labs to drive software evolution and anticipate new releases
  • Contribute to the definition of norms, standards, and best practices for BI, data, and analytics
  • Manage change to introduce new technology components and processes
  • Builds and maintains the Data Architecture road map and define / maintain the migration plan to reach the target within this domain
  • Coaches and develops team members and fosters a culture of collaboration, entrepreneurship, customer service, and creativity. Encourages team-members to think outside the box and enables them to generate new ideas and execute them
  • Predictive modelling: using data modelling and simulations to identify existing trends and future trends across different data sets
  • Business analysis: being able to generate business questions, analyze them, and translate them into data analysis problems
  • Data mining: able to find patterns in a variety of data sets, interpret results and find insights in data
  • Analytical and Strategic thinking: with little direction, create a roadmap to address strategic initiatives, fend of threats, and monetize opportunities
  • Ability to tell a story to senior leaders and other stakeholders that explains the analysis and recommendations
  • Ability to translate complex business problems to technology solutions and terms to data science teams
  • Executive presence and the ability to translate complex technology problems to business terms to the senior leadership team
  • Technical expertise
  • Hands-on experience writing complex ad-hoc SQL queries
  • Able to analyze and read software code in different programming languages
  • Creative thinker and the ability to create predictive models with code (SQL, R, or others)
  • Experience with 1 or more statistical and predictive modeling tools such as SAS, IBM SPSS, KnowledgeStudio, and RapidMiner
  • Expert knowledge of agile project methodologies, more specifically Scrum
  • Experience being a Product Owner in Agile environments
53

Intern, Digital Customer Analytics Resume Examples & Samples

  • Assists with overseeing all digital health reporting helping inform IT of website conversion and of the digital customer experience
  • Collects and distributes feedback from surveys across digital products to score our digital customer experience
  • Helps coordinate asset delivery for AB testing
  • Helps perform QA when new functionality is deployed to jetblue.com
  • Assists with ad-hoc requests for customer information by mining data and creating custom reports
  • Other duties as required
  • Recent graduate in the last two years with a Bachelor degree in Marketing, Business, Communications or related field
  • Ability to be flexible, multi-task, prioritize, and manage multiple activities simultaneously in a fast-paced, changing environment
  • Must possess a strong sense of urgency and be able to effectively manage deadlines
  • Strong team player with the ability to take initiative and work well independently
  • High attention to detail with the ability to think critically
  • Strong interpersonal skills, amicable and professional demeanor
  • Effective written, verbal and presentation skills
  • Proficient in using Microsoft Excel, PowerPoint, Outlook, Word
  • Able to provide official transcript and pass a pre-employment drug test
  • Must be legally eligible to work in the country in which the position is located
  • One (1) year of marketing/promotional or project management experience
  • Previous administration, research and/or project management experience
  • Experience organizing/coordinating multiple projects while providing exceptional customer service
  • Interacting daily with people at different levels within the organization, including developing and maintaining ongoing relationships
  • Passionate about Airline industry
  • Knowledge of Microsoft Access, SQL and HTML
  • Potential need to work flexible hours and be available to respond on short-notice
  • Must be an appropriate organizational fit for the JetBlue culture, that is, exhibit the JetBlue values of Safety, Caring, Integrity, Passion and Fun
  • Identify safety concerns, issues, incidents or hazards that should be reported and report them whenever possible and by any means necessary including JetBlue’s confidential reporting systems (Aviation Safety Action Program (ASAP) or Safety Action Report(SAR)
54

Customer Analytics Senior Associate Resume Examples & Samples

  • Project Management practices; customer experience analysis, including web analytics, customer segmentation analysis, contact center analysis, and marketing analytics
  • Analysis on a large dataset to solve business problems; hypotheses derivation and extraction of key insights from data with the understanding of business implication; and,
  • Analytical critical thinking skills, including the ability to quickly assimilate new information
  • Improve customer experience by applying critical thinking and data analysis skills in using ClickFox to identify customer journey improvements within and across contact channels
  • Lead analytics delivery by prioritizing analyses, develop tactical approaches, and manage analyst work streams
  • Present findings, review analytical insights and recommendations with client
  • Build client capabilities by establishing independent client user base via classroom training, focused mentoring, and ad hoc support; and,
  • Conduct live classroom training/coaching, perform data modeling, and understand Management Consulting practices
55

Manager Digital Customer Analytics Resume Examples & Samples

  • Oversees all digital health reporting helping inform IT of website conversion and of the digital customer experience
  • Administer surveys across digital products to score our digital customer experience and publish reporting to stakeholders outlining key themes and opportunities for improvement
  • Lead a team of developments on all analytics implementations and AB testing
  • Play a critical role in future design of JetBlue digital products and health monitoring
  • Partner with IT to design CRM and personalization framework for digital CRM applications
  • Respond to ad-hoc requests for customer information by mining data and creating custom reports
  • Take a significant role in the development of crewmembers to support the engagement, growth, goal achievement
  • Bachelor’s degree in analytical or quantitative discipline
  • Five (5) years airline industry and/or analytical work experience
  • Knowledge of consumer behavior and marketing
  • Available for occasional overnight travel (10%)
  • Able to work flexible hours and be available for an emergency response on short notice
  • Must pass a ten (10) year background check and pre-employment drug test
  • Three (3) years’ experience working with SQL databases using SQL Server Management Studio or relevant querying tools
  • Thorough understanding of CRM and e-commerce
  • Demonstrated leadership and/or mentoring experiences
  • Well groomed and able to maintain a professional appearance
  • When working or traveling on JetBlue flights, and if time permits, all capable crewmembers are asked to assist with light cleaning of the aircraft
  • Must fulfill safety accountabilities as prescribed by JetBlue’s Safety Management System
  • Promote JetBlue’s #1 value of safety as a Safety Ambassador, supporting JetBlue’s Safety Management System (SMS) components, Safety Policy and behavioral standards
  • Identify safety and security concerns, issues, incidents or hazards that should be reported and report them whenever possible and by any means necessary including JetBlue’s confidential reporting systems (Aviation Safety Action Program (ASAP) and Safety Action Report (SAR))
  • Responsible for adhering to all applicable laws, regulations (FAA, OSHA, DOT, etc.) and Company policies, procedures and risk controls
  • Uphold JetBlue’s safety performance metric goals and understand how they relate to their duties and responsibilities
56

Senior Modeler, Advanced Customer Analytics Resume Examples & Samples

  • Building predictive models
  • Leading the big-data approach to advanced analytics strategy
  • Working with and managing cross-functional teams to discover and develop actionable, high-impact data analytics
  • Developing advanced analytics solutions and platforms for individual customer outreach
57

Senior Analyst, Customer Analytics Resume Examples & Samples

  • Drives forward multiple customer, product or channel analytic projects that provide insights, guides strategy formulation, aids resource optimization and delivers best in class analytic solutions
  • Improve the effectiveness of customer acquisition, customer wallet share deepening, customer value management and customer retention
  • Develop, implement, monitor & evaluate analytic solutions that provide sizeable financial benefits to the organization
  • Independent development and ongoing evaluation of statistical models and tools, including; response, next best product, attrition, profitability, customer value, price elasticity, price simulator, pay-down, geo-maps, financial forecasts, channel optimization
  • Challenging competitive landscape and continued low interest environment
  • Minimum of four years proven and progressive analytic experience or equivalent, preferred in Customer, Product, Marketing, Channel or Risk analytics
  • Proven ability to analyze data, develop insights and recommend business strategy changes with associated financial benefits
  • Strong interpersonal skills and communication skills, both verbal & written
  • Strong team player and ability to support & supervise less experienced analysts both locally and offshore
  • Demonstrated ability to manage multiple analytical projects and communicate with Senior Management & Stakeholders
  • Financial Industry experience preferred
  • Knowledge of competition, products offered in the financial services industry, plus laws and regulations affecting their delivery
  • Strong PC literacy, specifically MS Excel, MS PowerPoint
58

Customer Analytics Manager Resume Examples & Samples

  • Delivers compelling customer insights and clear recommendations that materially improve the ability to achieve short and long term goals
  • Establishes weekly reporting dashboards that provide actionable customer insights for the CRM team and wider business
  • Works with the CRM team to develop/optimise customer lifecycle and marketing programs to drive longer term engagement and conversion
  • Drives the customer segmentation strategy and establishes an EU segmentation and measurement model
  • Develops a strong test and learn culture within the EU business and ensures that the testing insights & methodologies are aligned across the regions
  • Collaborates and builds relationships with leaders, business partners and peers to offer direction on analytical approach & methodologies, insight development and best practices as the global customer insights & analytics Centre of Excellence
  • Manages vendor/partners including SOWs and day to day work
  • Strong understanding of analytics, including segmentation and predictive modelling, working with consumer data
  • Understands how to leverage different internal and external sources of customer data
  • Ability to prepare business cases to support further investment in data analysis
  • Entrepreneurial; ability to drive forward with goals independently
  • Demonstrates positive behaviours; helps create a great culture, builds strong relationships and collaborates with business partners
  • Superior project management and organizational skills
  • Bachelor’s degree in Statistics, Analytics, Economics, Data Science or comparable. Master’s degree a plus
  • Experience in analytics, research, and/or data science
  • Experience working with external vendors and at least partially managing those relationships
  • Proficiency with statistical software (SPSS / SAS / SQL preferred)
59

Customer Analytics Manager, Data Specialist Resume Examples & Samples

  • Work with business stakeholders and colleagues across multiple teams to lead the exploration of data sources that are valuable for growth and retention strategies
  • Partner with business and technology stakeholders to fully understand the data, its strengths and weaknesses for specific analyses. Collaborate with them to discern valuable customer insights and validate and resolve data-related issues
  • Develop dashboards to visualize and automate the insight derived from analyses
  • Create underlying repeatable data frameworks across disparate data sources to power analyses
  • Partner with business stakeholders to develop new taxonomies and hierarchies as needed
  • Conceive of and operationalize data variables for statistical modeling purposes
  • Develop SQL scripts to enable regular refresh of useful datasets
  • Create ad-hoc reports, target lists and analytical frameworks and automate report / list generation
  • Evangelize the effective use of data-driven strategies across the organization
  • Advanced Oracle SQL programming skills
  • Prior experience in utilizing SQL for data exploration analysis
  • Experience in developing dashboards, preferably Tableau-based
  • Experience in cleansing, standardizing and integrating data from multiple sources as well as processing and synthesizing large data sets
  • Experience in utilizing and interpreting Web and Digital data
  • Experience with Business Intelligence tools such as Business Objects
  • Experience in documenting and presenting analysis findings to key stakeholders
  • Basic familiarity with multivariate statistics
  • Must be a team player, self motivated and extremely persistent. The person has to display a positive attitude towards learning and overcoming challenges; and possess strong analytical and problem-solving skills
  • Already possesses familiarity with Thomson Reuters data
  • Familiarity with Hadoop
  • Experience of working-in or supporting the financial industry sector
  • Strong verbal and written communications skills for someone with a technical background
60

Customer Analytics Manager Resume Examples & Samples

  • Advanced excel skills (e.g. expert at manipulating and presenting data)
  • Strong communication and influencing skills
  • Good project management
  • High energy, attitude of continual improvement and openness to change
  • Flexibility to travel occasionally to NYC / workshop locations (e.g. 4 times per year)
61

Manager of Customer Analytics Resume Examples & Samples

  • Team Management & Development while leading a team that leverages advanced analytical techniques to measure value and develop insights to improve customer communications
  • Provide recommendations on key strategic customer communications questions for the organization, based on in-depth market and data analyses
  • Mine customer data, customer research, and historical marketing data to develop deep, actionable insights
  • Present to leaders in the US Consumer Marketing Group as well as other business functions within Liberty Mutual
  • Works with Senior Management to set benchmarks and evaluate performance of Customer Communication campaigns & tactics
  • Utilizes 1st & 3rd party data to implement customized and triggered customer communications
  • Bachelor's degree or equivalent required with a focus in math, econ, stats or other quantitative field preferred
  • 4-10 years’ experience in an analytics function preferably in a consumer/customer environment
  • Advanced proficiency in Excel, PowerPoint, and other statistical software packages such as SAS, Python, etc
  • Must have strong planning, organizational, analytical, decision-making skills
  • Expert knowledge of data sources, tools and business drivers
  • Knowledge of statistical techniques and predictive modeling
  • Prior experience mentoring and/or managing a team of analytics professionals would be a strength
62

Director, Customer Analytics Resume Examples & Samples

  • 8+ years of related work experience and 5+ years in a management/people leader position
  • Must have significant data mining, analysis, and reporting experience, and some experience with IT project management
  • A successful candidate must also have a track record of strategic thinking and independent problem solving. Knowledge of pharmaceutical industry a plus
  • Expert-level skills in T SQL, Microsoft Excel, Microsoft Access and Microsoft Reporting Services (or similar reporting platform), as well as basic proficiency in Oracle and DB2 SQL
  • Skilled in financial reporting and profitability analysis, and comfortable learning and working with new business concepts and objectives
63

Customer Analytics Data Lead Resume Examples & Samples

  • As Customer Data Lead, supports CDO Organization’s key initiatives to advance Farmers’ Customer Analytic capabilities
  • Leads and supports Next-Gen Data and Business Intelligence experiments to evaluate technical/business fit and makes results-driven recommendations
  • Participates and supports cross-functional, hypothesis-driven exploratory analytics initiatives
  • Performs advanced analysis to answer key business questions and support CDO / executive stakeholder needs
  • Synthesizes data analysis results and recommendations into concise PowerPoint presentations
  • Minimum 4-5 years of experience in a technical Data Analyst role
  • Minimum 2-3 years of experience leading / supporting Customer data analytics
  • Experience leading/facilitating cross-functional team meetings
  • Experience managing multiple competing assignments & priorities
  • Experience working in a diverse Data Warehouse (DW) & Business Intelligence(BI) Team
  • Strong analytical skills; ability to read/write complex SQL queries to analyze data (must prove via technical assessment)
  • Ability to explain complex concepts / issues in simple terms
  • Strong Presentation (PowerPoint) skills
  • Quick learner, self-starter, organized, and detail oriented
  • Effective problem solver
  • Experience with relational & dimensional data models and concepts
  • Experience with SAS (Enterprise Miner & Text Miner a plus), R, and Python to perform advanced data analysis
  • Effective time and priority management
  • Hands-on experience working in a Big Data/Hadoop environment
  • Experience building/supporting a Customer Data Lake
  • Experience working with BI reporting & visualization tools - Business Objects, Tableau, SAS Enterprise Guide, etc
  • Exposure to ETL development - ability to read/follow ETL code (no coding required)
64

Lead, Capability & Customer Analytics Resume Examples & Samples

  • Minimum 2 years of experience in driving marketing and business decisions through data extracts, queries, and analysis
  • Expertise in Microsoft Excel
  • Strong experience in Data Mining Tools (SAS, SQL) and Adobe Analytics
  • Experience in retail, financial, digital, or operations analytics
  • Knowledge of: Credit card and retail channels (web, mobile, store)
  • Knowledge of: Concepts in marketing and finance or accounting
  • Knowledge of: Analytical and quantitative appraoches, logic and reasoning, prioritization skills, attention to detail and self-auditing
  • Knowledge of: Statistical Concepts, Data Mining Techniques, Multiple Programming Languages
  • Independent, Proactive, Curious: Ability to identify and self-start analtyic investigations relating to capabilities
  • Strong Skills in: Microsoft Office
  • Ability to: Build relationships, influence key partners, and manage conflict
  • Ability to: Communicate effectively in both written and verbal form, translating data analysis into everyday English
  • Ability to collaborate cross-functionally, comfortable interacting with all levels of management
  • Alliance Data will consider for employment qualified applicants with criminal and credit histories in a manner consistent with all applicable laws
65

Manager Market & Customer Analytics Resume Examples & Samples

  • Performs multivariate analysis on data across EME markets (customer and agricultural market trends)
  • Provides website analytics and trends
  • Derives insights and synthesizes market intelligence on area of expertise in consistent reports to organization
  • Defines requirements for tools for effective communication/utilisation of customer insights across the business
  • Development of data analytics framework supporting business development in a multi-brand environment based on existing customer, finance and survey data as well as external data sources
  • Provides proactive development and continuous improvement of market and customer data analytics
66

Digital & Customer Analytics Manager Resume Examples & Samples

  • Building a foundation to quickly accelerate our digital analytics capabilities; provide recommendations on optimizing digital customer acquisition and engagement based on these learnings
  • Leveraging web analytics tools including CRM platform and social measurement to develop aggregate performance and insight reports/dashboards for review with marketing stakeholders
  • Creating and maintaining a framework for quantifying customer lifetime value and identifying the levers that impact key areas including spending per customer, frequency, and retention
  • Analyzing and reporting marketing results to optimize the impact of online and offline marketing and sales initiatives (offers/promotions, advertising, and digital initiatives) to drive revenue growth and achieve ROI goals
  • Leading internal and agency resources to create advanced and predictive models such as marketing mix, propensity to buy, attrition, and advanced targeting/profiling models; partnering with marketing teams to utilize output to optimize our marketing mix
  • Leading the development, implementation, and optimization of test and target programs
  • Leading end-to-end project work, including data collection (internal and syndicated sources), model development and execution, interpretation of model results, and engaging key business stakeholders
  • Managing and prioritizing work effectively to ensure internal deadlines, timetables, and approvals are met
  • Providing regular status reports and briefings to stakeholders and functional leadership teams
  • Each and every coworker makes a difference every day by asking tough questions, finding the answers, and then making it happen—our entrepreneurial employees are the key to our success! Pampered Chef is big enough to implement cutting-edge technology, and small enough for all ideas to be heard and challenged
  • We are a learning focused environment—we want you to learn from us, and we expect to learn from you and what you’re passionate about! We even provide training and development for added brainpower
  • We get to mix it up! PC has offices in Addison and in downtown Chicago. Some of our roles will have the opportunity to work in the Chicago office full time, part time, or on occasion
  • We collaborate every day in a high-tech space with writable walls, open collaboration zones, quiet “I need to contemplate” zones, and fun zones with ping pong, basketball, and bags, of course. No boring cubicle farms here!
  • We are concerned about your physical and financial well-being and offer BC/BS PPO or HMO health plans, dental, disability, matched 401K, life insurance, on-site fitness center, comfy chairs, on-site cafeteria, and dry cleaning valet service
  • Most importantly, Pampered Chef has a strong, proven history of bringing fun to cooking, creativity to recipes, and sharing to family and friends around the table
67

Director, Customer Analytics Resume Examples & Samples

  • 20% Lead the Customer Analytics team in creating customer understanding based on advanced analytical methods
  • 20% Provide leaders and business partners with actionable insights on customer value, needs and preferences through frequent, proactive communication as well as clear and concise presentations and reports
  • 20% Consult business partners on the appropriate use of statistical and quantitative modeling and analysis techniques to inform their decision making processes
  • 10% Build, lead and develop a team of analysts
  • 10% Manage planning, design, development and implementation of analysis projects
  • 10% Estimate resources and cost for analytic projects and manage project budgets
  • 10% Initiate, evaluate, recommend and implement analytical best practices
  • Must be eighteen years of age
  • Must pass the Drug Test
  • Must pass pre-employment tests if applicable
  • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job
  • Masters or Doctorate degree in Statistics, Industrial Engineering, Economics or equivalent
  • Previous experience managing and developing analytical teams
  • Previous retail or other relevant experience
  • Highly skilled in translating business questions / problems into analytical models
  • Excellent verbal and written communications skills at all levels; ability to communicate technical information to both technical and non-technical audiences
  • Expertise with statistical, econometric, and quantitative analysis techniques relevant to customer analytics (e.g., logistic regression, categorical analysis, discriminant analysis, clustering, etc.)
  • Thorough knowledge of quantitative theories and techniques and their role in the business context
  • Knowledgeable in the use of statistical programming software, especially SAS Proficient with PowerPoint and Excel
68

Senior Analyst, Customer Analytics Resume Examples & Samples

  • Knowledge of: Credit card and retail industries
  • Knowledge of: Analytical and quantitative approaches, logic and reasoning, prioritization skills, attention to detail and self-auditing
  • Ability to: Build relationships, influence key partners, and manage conflicy
  • Ability to: Communicate effectively in both written and verbal form across a variety of departments and personnel
  • Independent, Proactive, and Curious
69

Senior Analyst, Cobrand Customer Analytics Resume Examples & Samples

  • Knowledge of: Concepts in marketing, finance, and accounting
  • Knowledge of: Statistical Concepts, Data Mining Techniques, Multiple Programming Languages (including SQL and/or SAS experience extracting and modifying data
  • Independent, Practive, and Curious
70

Senior Analyst, Customer Analytics Resume Examples & Samples

  • Proactively identify and support implementation of improvements to data structures to increase efficiency and flexibility
  • Perform in-depth analysis of customer journey and customer experience strategies to address customer pain points and drive customer satisfaction
  • Innovatively and accurately interpret business needs and requirements to create value adding and business actionable outcomes from data analysis requests/studies
  • Minimum 2 years in a data analytics role preferably within the telecommunications industry
  • Advanced verbal and written communications skills
  • Strong presentation development and delivery skills
  • Motivated and highly adaptable with the ability to deliver results under pressure of multiple deadlines
  • In-depth knowledge of data warehousing tools and software (ORACLE, Teradata, SQL Server, Hadoop)
  • Tableau reporting skill is an asset
71

Senior Analyst Customer Analytics Resume Examples & Samples

  • Bachelor's degree in Statistics, Mathematics, Economics, Data Science or similar
  • Several years of experience working in an advanced analytics role OR a Master’s degree in one of these subjects and at least a year of work experience
  • Past experience in a role focused on customer insight, statistical modelling, or data science would be beneficial
  • Deep understanding of online marketing, preferably in a past or current role
  • Experience in the travel industry a bonus
72

Lead, Customer Analytics Resume Examples & Samples

  • Knowledge of: Statistical Concepts, Data Mining Techniques, Multiple Programming Languages (including SQL and/or SAS experience extracting and modifying data)
  • Knowledge of: CRM Marketing
  • Strong Skill in: Project Management
  • Strong Skills in: Stakeholder management, providing data driven insights
  • Ability to: Build relationships, influence key partners, and efffectively conduct conflict management and negotiation
  • Ability to: Meet established deadlines and work on multiple projects simultaneously
  • Ability to: Embrace and/or initiate change; Adapt to new tools and processes
  • Alliance Data participates in E-Verify
73

Product Owner for Real-time Customer Analytics Resume Examples & Samples

  • Own, plan, design and build market leading, innovative, profitable software
  • Work with agile Development Teams, Software Architects and User Interface Designers on realizing the Product in the role of the Product Owner
  • Execute topics from the product roadmap to develop and improve the product offering around Hybris Profile, with specific focus on big data processing and extensibility
  • Be the owner and representative of particular product modules
  • Work with other Product Managers and Software Architects to define the Product Vision, Product Backlog and Release Plan
  • Support the Lead Product Manager in defining roadmap items
  • Liaise and maintain regular interactions with other product teams within the CEC Line of Business to plan and execute product integrations
  • Create educational material and train internal staff
  • Have a good Understanding of the domain, market and competitors for Customer Analytics, Commerce and Marketing in general
  • Work with strategic partners to integrate and extend the capabilities into key verticals
  • Speak at Customer Analytics, Marketing and Commerce related occasions
  • University degree, e.g. Computer Science, Engineering, Economics or similar
  • Prior successful collaboration and/or leadership within cross-functional software engineering teams
  • Very good verbal and written English communication skills
  • Ideally you have a development background in Java or web applications
  • Experience with cloud services preferred
  • Technical understanding of latest software technologies, ideally including Java, JavaScript, Cloud Foundry, Kubernetes, noSQL databases
  • Thorough understanding of SaaS technologies as well as the entire software development lifecycle
  • Several years of product management experience, ideally in the area of e-commerce and/or analytics
  • Professional experience in software development, ideally with a focus on building APIs and services for the cloud
74

Customer Analytics Manager Resume Examples & Samples

  • Experience with analysis of marketing data
  • Experience with training of colleagues
  • Experiences with Maersk Line internal systems and data (FBR, YODA, BOXI, AFLS, GCSS, Case mgmt., etc.)
75

Analyst, Customer Analytics Resume Examples & Samples

  • Lead analysis of customer marketing initiatives. Continually monitor, track, and refresh analyses to measure success of key initiatives; conduct post-mortems and other operational analyses as needed
  • Based on analysis, develops reports, proposals for action or implementation plans as necessary and presents to management
  • Collaborate with manager and stakeholders to create and execute long-term marketing strategy, focusing on retaining customers, selling additional products, and driving actions that improve the customer experience
  • Partner with internal stakeholders on marketing campaigns - understand their information needs and challenges, set up and measure testing, and translate results into actionable analysis
  • Lead creation and presentation of monthly results reporting to senior management
  • Minimum 3-7 years related experience in analytic related roles
  • Experience using data tools (e.g. SAS Enterprise Guide, Excel, VBA, etc.)
  • Strong quantitative analysis, problem solving, and project management skills
  • Ability to present data, visually and verbally, to guide conversations with business managers
  • Proven track record of results delivery and strong attention to detail, evident in both oral and written communication skills
76

Customer Analytics Manager Resume Examples & Samples

  • You have a minimum experience of 6 years in analytics and data science
  • You have experience in a marketing or commercial environment (product, strategy, research)
  • Internal or external consulting experience preferred
  • You have experience in complex stakeholder management to achieve alignment around a common set of goals and influence business outcomes
  • You are proficient in advanced SQL &/or SAS
77

Instant Ink Senior Analyst Customer Analytics Resume Examples & Samples

  • Bachelor’s or Master’s degree in any of the following: Mathematics, Data Science, MBA, Marketing, Finance, Engineering, Economics or Science
  • 6+ years of data analysis work experience, preferably in Direct Marketing
  • Significant experience in analyzing customer data using current state of practice quantitative techniques including (machine learning, text analytics...)
  • Familiarity with Big Data platforms is a plus
  • Highly motivated/self-starter with a sense of ownership, willingness to learn, and desire to succeed
  • Distinctive strategic and analytical capabilities. Demonstrated capacity to identify and communicate business insights from complex, data-driven business analysis
  • Demonstrated deep customer understanding and empathy in previous roles
  • Proven experience with advanced modeling techniques such as logistic regression, generalized linear models, decision trees, factor analysis, cluster analysis, survival analysis, etc
  • Experience using R, Python, SAS, or SPSS for data analysis. Familiarity with Qlikview and SiteCatalyst
  • Basic SQL proficiency preferred
  • Experience with A/B testing evaluation
  • Understanding of finance basics, especially Income Statement
  • Expert knowledge of marketing principles, practices, tactics and tools
  • Startup attitude and a passion for business innovation. Ability to work in new, fast-paced environments
  • Outstanding written/oral communication skills. Experience creating intuitive presentations of complex information. Fluent in English
78

Customer Analytics Manager Resume Examples & Samples

  • Demonstrate thought leadership when understanding end-to-end business objectives and develop appropriate analytical frameworks to facilitate achievement of objectives
  • Develop and maintain strong relationships with business stakeholders. Coordinate with other departments to develop, manage and execute programs based on analytic findings to drive growth and retention objectives
  • Develop visually compelling presentations that communicate the relevant insights to stakeholders in an easily consumable manner
  • Excellent analytical skills with a demonstrated ability to solve problems
  • Strong understanding of various statistical modelling and data analysis methodologies
  • Robust experience in data mining and SQL programming knowledge
  • Extensive experience in an analytics, strategy consulting, database marketing, or other quantitative role
  • A self-starter, with the ability to initiate and drive projects to completion and formulate problem solving hypotheses with minimal guidance
  • Experience in the financial services industry or business-to-business (B2B) organisation
  • Expertise in R or SAS for statistical modelling in a business setting