Manager, Customer Analytics Resume Samples

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NH
N Hackett
Naomie
Hackett
194 Jordan Lakes
Chicago
IL
+1 (555) 470 4127
194 Jordan Lakes
Chicago
IL
Phone
p +1 (555) 470 4127
Experience Experience
New York, NY
Manager Customer Analytics
New York, NY
Turner-D'Amore
New York, NY
Manager Customer Analytics
  • Improve the effectiveness of customer acquisition, customer wallet share deepening, customer value management and customer retention
  • HSBC and industry evolution of distribution and channel strategies to lower cost emerging technology
  • Challenging competitive landscape and continued low interest environment
  • HSBC’s focus on Global Standards for the business
  • 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
  • Assist the business evolve to being analytically driven, that uses analytical insight in key strategic decision making and supports an analytical test & learn culture
  • Ensure compliance, operational risk controls in accordance with HSBC or regulatory standards and policies; and optimize relations with regulators by addressing any issues
Phoenix, AZ
Manager, Customer Analytics
Phoenix, AZ
Bernhard-Bechtelar
Phoenix, AZ
Manager, Customer Analytics
  • Stay up-to-date with industry trends and providing recommendations for testing into new and emerging technologies, vendors and trends
  • Demonstrated successful track record in managing high performing, highly technical and analytical teams and developing individuals
  • Oversee the validation, tracking and monitoring the performance of statistical models, and development of next-generation models
  • Comfort in working in fast moving and iterative-development environments
  • Knowledge of building and maintaining a set of predictive models in support of the Customer Intelligence and Personalization strategies is a plus
  • Help develop Enterprise Personalization and Data Mining solutions using the best practices and the latest developments in the industry
  • Conduct various analysis for data integrity and data lineage including maintaining key metrics and performance benchmarks for data hygiene
present
Houston, TX
Senior Manager, Customer Analytics
Houston, TX
Mayert-Spinka
present
Houston, TX
Senior Manager, Customer Analytics
present
  • Communicating with impact and credibility in the English Language
  • Lead the development and management of all CRM database marketing analytics, including but not limited to: client profiling, segmentation & trending, LTV modeling, survey universe identification. Partner with internal stakeholders to develop relevant strategic customer reporting and KPI’s and manage preparation and distribution of same
  • Collaborate and build 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 Center of Excellence
  • Ensure consistency and accuracy of data and insights. Liaise with analytical counterparts to share best practices and provide single view of customer
  • Manage Vendor partners including SOWs and day to day work.'
  • With IT, manage CRM customer database, including hygiene, auditing for accuracy & integration of new data elements supporting new marketing initiatives (online browsing behavior, data overlays, etc.)
  • Supervising 3 - 5 direct reports
Education Education
Bachelor’s Degree in Statistics
Bachelor’s Degree in Statistics
University of Arizona
Bachelor’s Degree in Statistics
Skills Skills
  • A passion for analytics
  • A customer driven mindset
  • Analytically anchored problem-solving skills
  • Ability to translate insights into actionable marketing strategies
  • Experience in driving productive collaboration
  • Consultative & influencing skills
  • Strong interpersonal skills
  • Excellent communication and presentation skills
  • Strong project management skills & a high attention to detail
  • Adaptability in terms of thinking both strategically & tactically
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15 Manager, Customer Analytics resume templates

1

Manager, Customer Analytics Resume Examples & Samples

  • Advice: 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
  • Delivery: Provides targeting, list management & campaign measurement expertise in support of marketing campaigns & customer experience research
  • Proactively provide analytical guidance to partners, based on understanding of their respective businesses, to enhance marketing strategy
  • Leverage Customer Analytics capabilities to build & deliver customer insights
  • Present insights to partners to drive strategic improvement
  • Apply customer analytics to deliver legendary customer experience & drive shareholder value
  • A customer driven mindset
  • Analytically anchored problem-solving skills
  • Ability to translate insights into actionable marketing strategies
  • Experience in driving productive collaboration
  • Consultative & influencing skills
  • Strong project management skills & a high attention to detail
  • Adaptability in terms of thinking both strategically & tactically
  • 5+ years of relevant experience in marketing, consulting, analytics and/or financial services, ideally in an influencing or advisory capacity
  • Degree in science, engineering, business or quantitative discipline, preferably at a Master’s degree or above
  • Working knowledge of analytical tools (e.g. SAS) & marketing applications
2

Manager, Customer Analytics Resume Examples & Samples

  • Develop and direct a variety of fact-based analyses that aid Senior Management in making decisions relating to the creation or expansion of new or existing services
  • Responsible for developing and managing strong relationships with internal clients (business groups) and understanding their needs pertaining to marketing analytics and customer insights. Present results of analyses and recommendations senior managers and executives and collaborate with cross-functional business partners on key bank initiatives
  • Oversee the validation, tracking and monitoring the performance of statistical models, and development of next-generation models
  • 5 years of relevant work experience
  • 2 years of supervisory experience
  • In-depth 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
  • Experience in managing and overseeing offshore analytics vendors
3

Senior Manager Customer Analytics Resume Examples & Samples

  • Provide support across the Analytic and CVM/RBWM teams with proactive leadership, organization and participation in Employee Engagement activities
  • Lead and develop an effective team through communication, performance management, development plans and reward/recognition practices
  • Promote an environment that supports diversity and reflects the HSBC brand
  • Bachelor’s degree required in business, statistics, economics, finance, information systems or operation research field. Master's level degree preferred
  • Excellent quantitative & analytical skills, including customer segmentation, statistical modeling, database marketing and portfolio management, plus knowledge of analytical methodologies for optimizing and evaluating analytic solutions
  • Proven problem solving, planning, project management and decision-making skills
  • Strong team leader, either direct reports or cross team leadership, and ability to support & supervise less experienced analysts both locally and offshore
  • Demonstrated ability to manage multiple analytical projects, develop project plans and communicate with Executive Management & Senior Stakeholders
  • Financial Industry experience required
4

Manager, Customer Analytics & Insights Resume Examples & Samples

  • Partner well with senior business leaders to address their most important customer-related issues
  • Partner well with others within the larger Customer Insights & Analytics team and within our partners’ orgs in order to successfully execute projects
  • Master’s degree from a top tier graduate school, preferably an MBA or in a quantitative field (Statistics, Finance, etc.)
  • At least 2 years of experience at a premier management consulting firm before or after graduate school
  • Communicate effectively with senior business leaders (in Marketing and in the Verticals)
  • Persuade them to act on your recommendations in order to generate a significant impact on business performance
5

Senior Manager, Customer Analytics Resume Examples & Samples

  • Introduces innovations that enable us to understand our customers better, and more efficiently
  • Lead the development and management of all CRM database marketing analytics, including but not limited to: client profiling, segmentation & trending, LTV modeling, survey universe identification. Partner with internal stakeholders to develop relevant strategic customer reporting and KPI’s and manage preparation and distribution of same
  • Collaborate and build 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 Center of Excellence
  • Ensure consistency and accuracy of data and insights. Liaise with analytical counterparts to share best practices and provide single view of customer
  • Manage Vendor partners including SOWs and day to day work.'
  • With IT, manage CRM customer database, including hygiene, auditing for accuracy & integration of new data elements supporting new marketing initiatives (online browsing behavior, data overlays, etc.)
  • Supervising 3 - 5 direct reports
  • Strong understanding of analytics, including segmentation and predictive modeling, working with consumer data
  • Skilled at articulating a business problem and context, defining analysis objectives & plan, and providing simple & compelling business recommendations
  • Possesses strong presentation skills
  • Communicates clearly, concisely, effectively across multiple levels within the organization
  • Story telling with data is essential
  • Demonstrates positive behaviors; helps create a great culture, builds strong relationships and collaborates with business partners
  • Manages multiple priorities well. Understands what’s most important, and gets it done quickly within the resources available
  • 5-7 years’ experience in analytics, research, and/or data science
  • Strong proficiency with statistical software required (SPSS or SAS preferred)
  • Understanding of relational consumer databases; prior use of related applications required
  • Experience in multi-channel retail marketing preferred
  • Advanced proficiency in Microsoft Word, Excel, PowerPoint, Access
6

Manager Customer Analytics Resume Examples & Samples

  • Regulatory challenges and increasing need to dedicate time to Compliance & Regulatory work
  • HSBC and industry evolution of distribution and channel strategies to lower cost emerging technology
  • HSBC’s focus on Global Standards for the business
  • Minimum of six years proven and progressive analytic experience or equivalent, preferred in Customer, Product, Marketing, Digital ,Channel or Risk analytics
  • Master’s degree preferred / Bachelor’s degree required in business, statistics, economics, finance, information systems or operation research field
  • Proven problem solving, planning, project management and decision-making skills,
  • Demonstrated ability to manage multiple analytical projects, develop project plans and communicate with Senior Management & Stakeholders
  • Experience woking in Big Data Hadoop environment within current role, plus experience working with Campaign Management & CRM Real Time Decision Engine industry solutions
  • Strong knowledge and experience in SAS is required, preferred knowledge of SAS Visualization tool, plus working knowledge of SQL ad other Visualization tools
  • Financial Industry/Retail experience preferred
7

Group Manager, Customer Analytics Resume Examples & Samples

  • 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
  • Preferred familiarity with either individual/end consumer or enterprise/business segmentation schemas (ideally, both types of schemas)
  • Manage a team of 1-3 plus management of contractors or vendor engagements
  • Support Global Marketing Organization and Business Units through multiple analytical disciplines and in partnership with cross functional teams such as IT
8

Senior Manager, Customer Analytics Resume Examples & Samples

  • Identify, analyze and interpret customer trends from large, complex data sets
  • Design experiments and use statistical techniques to determine factors that drive customer behavior
  • Develop, deploy and refine models that predict customer behavior – with a focus on customer retention
  • Most importantly, based on statistical analysis, experiments and models deploy solutions that substantially improve business results
  • Report business risks and results proactively and concisely to senior management
  • Strong proficiency in advanced statistical techniques (factor analysis, time series, survival analysis, Bayesian statistics,..)
  • Proven ability to develop and implement solutions that meaningfully impact business outcomes
  • Demonstrated creative problem solving and critical reasoning abilities
  • Skills to extract customer behavior from data, construct then prove meaningful and reasonable hypotheses
  • Ability to make correct judgment call with incomplete information
  • Work with people in different functions and of different background
  • Strong proficiency in SQL and MS Excel is required
  • Require ability with some or all of the following software SAS, R or Python
  • Established ability to communicate effectively and proactively
  • Ability to communicate using visual tools (i.e. PowerPoint, Tableau) is desirable
9

Senior Manager, Customer Analytics Resume Examples & Samples

  • 5 years of experience in analytics
  • Experience with SAS , SQL and data visualization tools
  • High proficiency in Microsoft Office Excel and PowerPoint
  • 5 years of experience in Financial Services, Consumer Products or other related Industries
  • Team leadership experience is essential (2+ years leading a team)
  • Legally authorized to work in US
10

Senior Manager, Customer Analytics Resume Examples & Samples

  • Derive, synthesize and present strategic and actionable insights from complex data mining and analyses
  • Manage and develop a team, as well as act as an advocate for initiatives to improve their workflow and engagement
  • Communicate critical business and/or customer intelligence risks and opportunities proactively and clearly to senior executives
  • Structure and analyze major business and customer questions through a hypotheses-driven approach
  • Lead through influence and work cross-functionally to understand key stakeholder needs
  • Prioritize multiple analytics requests based on action-ability and business impact
  • Partner closely with the Data Warehousing to optimize data integrity, systems and reporting capabilities
  • Work comfortably with ambiguity and in a fast-paced environment
11

Manager, Customer Analytics Resume Examples & Samples

  • Design, execute, and manage multiple customer analytic projects on various sales channels and customer touch points including but not limited to omnichannel, device, payment type, and marketing tactics. Work closely with internal business partners to apply insights to achieve business goals
  • Synthesize qualitative and quantitative customer data from multiple sources to develop comprehensive view of customer behavior and attributes. Collaborate with Advanced Analytics team to build forward-looking predictive models
  • Develop and manage production of customer reporting dashboard
  • Gain a thorough understanding of the customer data structure and manage relationship with the data systems teams across the organization to ensure data accuracy and coverage. Explore the most efficient ways to pull customer data
  • Support marketing tactics by providing strategic customer profiles and actionable insights based on customer analysis
  • Analyze the impact of mobile with a focus on cross-channel shopping behavior
  • Identify new ideas and opportunities for customer analytic projects
  • Interpret and present customer analysis to business stakeholders and senior/executive management and provide recommendations on how to leverage customer insights to create value. Evangelize customer-centric view of the business
  • Manage staff to successfully deliver on objectives
  • Identify, develop, and elevate talent by providing mentorship and coaching
  • BA/BS Degree in Marketing, Market Research, Psychology, Statistics, Mathematics, Economics, or related field preferred. Advanced degree strongly preferred
  • 5+ years of experience in a quantitative analytics field, preferably customer or marketing analytics
  • 2+ years of experience managing direct reports or leading teams with significant authority and responsibility
  • Proficiency in Microsoft Word, Excel and PowerPoint required
  • Proficiency in SQL required; experience with Tableau, SAS and Hadoop a plus
  • Familiarity with statistical models and significance testing; experience with predictive modelling or text analytics a plus
  • Experience managing complicated analytics projects from inception to completion; must have strong project management skills
  • Strong verbal and written communication skills and excellent PowerPoint skills with ability to tell a story with the data and make complicated ideas understandable to a broad audience
  • Strong analytic skills with inclination and ability to solve complex problems
  • Highly motivated self-starter. Candidate must be comfortable working independently to achieve a successful result with minimal guidance
  • Ability to confidently handle multiple projects simultaneously under tight deadlines
  • Proven ability to turn data-driven insights into business value
  • Possess strong organizational and time management skills, with attention to detail
12

Manager, Customer Analytics Resume Examples & Samples

  • [Segmentation] Work on the creation and maintenance of all aspects of customer segmentation. This will require working in the database (via SQL/SAS/similar) to identify logical/actionable customer segmentation and partnering with the development teams to ensure segments are easily available for analytics and marketing efforts
  • [Reporting] Create and distribute recurring reports that evaluate customer trends
  • [Efficiency/Consistency] Development of approaches, templates and tools that ensure a consistent approach in all customer segment reporting. Work with the IT group to ensure maximum efficiency in the report creation process and automation where possible
  • [Test Setup] Proactively suggest customer segment tests based on current trending
  • [Knowledge Base] Maintain accessible knowledge base and archive of past analyses facilitating trended results of customer population shifts
  • [Data Analysis] Analyze and organize the data available to the business. Inspect, clean, understand, and transform data while keeping the big picture of the business model in mind and analyze with focus and purpose to transform quality data into an asset
  • [Leadership]Development and management of 3 customer analysts, including training, prioritization, career development
13

Senior Manager, Customer Analytics Resume Examples & Samples

  • Analyze client, store and external market data to explain the drivers of business performance
  • Transform business questions into fact based analysis that delivers clear insights and actionable recommendations, with some examples including evaluation of new client acquisition and brand/category performance in total and across client segments
  • Partner with cross functional analytics teams to develop well-rounded perspective and bring insights together to tell a cohesive story and drive strategic decisions
  • Analyze client behavior and store data to guide localization strategy and marketing / merchandising initiatives
  • Design and evaluate controlled tests and store pilots to understand impact of new initiatives and guide fleet-wide implementation strategy
  • Provide perspective of Sephora’s business relative to total Prestige Beauty through market share analysis and reporting
  • Manage, coach and mentor junior team members
  • Comfortable performing complex analyses to generate data driven insight and recommendations
  • Exceptional problem solving and critical thinking skills
  • Proactive approach to data exploration and opportunity identification
  • Superb data analysis skills with ability to extract and interpret data from multiple sources
  • Ability to dig deep into details while keeping focus on the primary business question at hand
  • Ability to manage multiple projects simultaneously and prioritize workload without becoming overwhelmed
  • Strong communication skills, with ability to communicate complex topics in a simple way
  • Experience working on cross functionally driven initiatives
  • Entrepreneurial orientation, with ability to thrive in an environment with rapid change
  • High degree of initiative and optimism
  • Bachelor's degree with 5-7 years of experience in an analytical role and 1-2 years of managing direct reports
  • Experience with data mining, forecasting, and statistical analytics tools, such as SAS or SQL
  • Advanced Excel and Powerpoint skills
  • Experience with reporting, report automation, clustering, test/control measurement, pre/post analytics
  • Experience in retail and/or dotcom a plus
  • Experience with market measurement, such as Nielsen, IRI, NPD, a plus
14

Senior Manager, Customer Analytics Resume Examples & Samples

  • Collaborate with the Vice President and other directors within Customer Insights, 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
  • Collaborates with GRC leaders and assigned business partners to develop and implement strategy by developing and maintaining a close working relationship with GRC business unit leaders and key personnel; relaying data insights back to business unit leaders to influence business strategy; recommending ways to effectively and efficiently achieve P&L strategies and objectives; and composing reports and presentations to highlight findings and support business decisions
  • Follows-up to ensure strategies are thorough and effective by establishing metrics and collecting data to measure the impact of implemented strategies; ensuring all strategies have achieved their designed objective; collaborating with business unit leaders to discuss strategy successes and failures; providing continuous consultation to business unit leaders to guide and tweak business unit strategy through data insights; driving the execution of end market testing and end market learning; and driving the replication of successful strategies resulting from customer analytics
  • Focus on coaching and mentoring associates and external consultant and 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
  • Bachelor’s Degree in Statistics, Operations Research, Economics, Mathematics, Computer Science, Engineering, Technology or related field
  • A minimum of 5 years of work experience leveraging statistical modeling, database marketing and/or economic analysis to drive positive business outcomes, including
  • Advanced Degree in Statistics, Operations Research, Economics, Mathematics, Computer Science, Engineering, Technology or related field
  • Experienced in communicating business recommendations and influencing business partners
  • Experience in a Business to Business setting
  • Experience working in a fast-paced consultative role
  • Experience developing analysis to support Sales and Service
  • Able to work independently and able to handle multiple projects
  • Proficient in Microsoft Office Suite (Word, Excel, PowerPoint and Outlook)
15

Manager, Customer Analytics Resume Examples & Samples

  • Manage the Customer Intelligence Big Data Platform’s data hygiene and business rules with cross functional teams
  • Conduct various analysis for data integrity and data lineage including maintaining key metrics and performance benchmarks for data hygiene
  • Create and maintain relationships with teams across the organization for updating the ever changing business logic and rules
  • Experience with demonstrating business values via PoC and promoting PoC to production
  • Create the foundation of data governance on Big Data Platform data and its usage
  • Create and manage the best in class data governance implemented with best practices
  • Prepare comprehensive documentation about data and its usage
  • Stay up-to-date with industry trends and providing recommendations for testing into new and emerging technologies, vendors and trends
  • Provide support for ad-hoc data support and analysis as required time to time
  • Manage cross functional team expectations and keep everyone on the same page
  • 5+ years of experience in leading and executing data-driven customer analytics and marketing programs
  • 3+ years of experience implementing customer segmentation strategies with the solid understanding of segmentation principles, methodologies and best practices
  • Prior experience building customer segments using data analytics is strongly preferred
  • Advanced relational database and SQL programming skills for data discovery, data preparation and analysis is required
  • Experience with Business Intelligence, Reporting and Visualization tools, Tableau experience is strongly preferred
  • Experience with Big Data Technologies is preferred
  • Solid understanding of interactive marketing principles and digital trends
  • Strong analytical reasoning skills
  • Intermediate programming or scripting skills: Java, JavaScript, Python or equivalent
  • Must be self-motivated and able to work both independently and with others
  • Excellent communication (written and oral), presentation and storytelling skills
  • Strong ability to collaborate with cross functional teams, working with internal business clients
  • Strong skills in time management and multitasking
16

Manager, Customer Analytics Resume Examples & Samples

  • Create Tableau dashboards that foster a customer centric view of Retail business with the ability to track longitudinal customer growth and drill down on KPI’s
  • Create, maintain and provide support and training on Tableau dashboards to the user community
  • Utilize SQL, Tableau and SAS (or other statistical tools) to develop data driven customer insights
  • Create visualizations and develop dashboards using Tableau, Excel or other BI tools like Micro strategy to provide analytical detail on customer, category, campaign and vendor performance
  • Develop, enhance, and/or execute approaches to analyze information relating to customer activity, including segment based analyses, migration analyses (movement of customers between segments), customer value changes, and customer activity
  • Participate and lead project teams that utilize customer behavior information in their marketing processes, including Merchandising, Loyalty and Promotional Planning
17

Manager, Customer Analytics Resume Examples & Samples

  • Manage the Customer Intelligence Big Data Platform integration with other projects across organization
  • Conduct various analysis, including maintaining key metrics and performance benchmarks
  • Provide Data and Analytics Strategy input throughout the design, development and deployment stages of the Customer Intelligence Platform
  • Lead the utilization of advanced Data Mining tools and analytics frameworks
  • Help develop Enterprise Personalization and Data Mining solutions using the best practices and the latest developments in the industry
  • Collaborate with Strategic Insights, Marketing, Sales and BI teams in the development and deployment of the predictive models across Digital Channels, Properties and Customer Intelligence Platforms
  • Knowledge of building and maintaining a set of predictive models in support of the Customer Intelligence and Personalization strategies is a plus
  • Collaborate with IT Infrastructure teams in monitoring and capacity planning of the environment ensuring ongoing stability
  • Manage customer team’s expectations and keep them updated
  • Prior experience conducting online and offline campaign performance measurement and post-campaign analysis, including defining key metrics and establishing benchmarks
  • Ability to interpret unstructured data sets such as web logs, network logs, chats or social media data
  • Understanding of the underlying Statistical, Machine Learning theory and Predictive Modeling Lifecycle is a plus
  • Production experience with Predictive Campaign Response models, including the use of Clickstream, Web Analytics or Display Advertising campaign data is a plus
  • Production experience implementing Lookalike and Clustering models for Customer Acquisition, Retention and Upsell is a plus
  • Experience with Hadoop Hive and Pig a plus
  • Experience with statistical reporting, modeling and quantitative analysis Base knowledge of statistical tools (R, SPSS, SAS) would be an asset
  • Strong analytical reasoning skills and ability to collaborate with cross functional teams, working with internal business clients
  • Superior communication skills; ability to communicate effectively with all levels of management and partners
18

Senior Manager, Customer Analytics Resume Examples & Samples

  • 1) Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge
  • 2) Development and execution of customer analytics
  • 8) Champions a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team
19

Senior Manager, Customer Analytics Resume Examples & Samples

  • Contribute to key business decisions by developing timely and actionable models and analysis to support product design, campaigns and other RD&I business activities
  • Manipulate multiple data sources across the Bank’s product lines to create an holistic customer view
  • Proactively identify new opportunities within the customer base (ie. sales and profitability trends, customer insights and trend analysis) and provide thought leadership on operationalizing these opportunities in the short-, medium-, and long-term
  • Development and execution of customer analytics
  • Reporting
  • At least 2 years of programing experience in at least one of the following: HTML, SAS, Python, Java, C, VBA, SQL, Tableau
  • 3-5 years of work experience
  • Natural curiosity and desire to learn more and understand root cause of issues
  • Strong analytical and problem solving skills
  • Self-starter with self-discipline
  • Ability to handle ambiguity and unknowns
  • Quick learner, able to comprehend complex topics in short period of time
  • Ability to develop and execute strategies and projects, working independently and as part of a team
  • Flexibility to adapt and manage within a dynamic business environment
  • Good interpersonal skills, with the ability to negotiate and obtain consensus among key stakeholders
  • Proven ability to manage conflicting priorities/mandates/agendas as well as potential situations with strong differences of opinion
  • Excellent time management and organization skills and a proven ability to meet deadlines
  • Advanced user of Microsoft products including: Word, Excel, Access, and PowerPoint
20

Manager Customer Analytics Resume Examples & Samples

  • Lead/mentor a team of Senior Analysts
  • Collaborate with internal clients at various levels to facilitate and drive data and analysis requests
  • Contribute personally and support team players to leverage departmental data, analytics and root cause methodologies to identify and recommend cost, revenue and customer experience improvement opportunities
  • Proactively implement and support improvements to data structures to increase efficiency and flexibility
  • Lead in-depth analysis of customer interaction patterns across multiple service organizations to provide recommendations on customer experience improvement opportunities
  • Minimum 3-5 years in a data analytics role preferably within the telecommunications industry
  • Strong interpersonal, collaboration and leadership skills with a proven ability to create value for internal clients
  • Advanced verbal and written communications skills. Strong presentation development and delivery skills
  • Advanced SAS and SQL programming/query skills and in-depth knowledge SAS software
  • In-depth knowledge of visualization tools such as Tableau or SAS VA
  • Bachelor’s degree in Statistics or Computer Science or equivalent
  • Project or process certification or equivalent experience would be an asset
21

Manager, Customer Analytics Resume Examples & Samples

  • Quantitative (i.e. Engineering, Economics, Business Administration) bachelor degree required, MBA or other advanced degree preferred
  • Highly ambitious – seeks accountability in a challenging business environment and thrives on success in the marketplace through innovative problem solving
  • Proficiency with Tableau, Alteryx, Oracle, Netezza and Hive with expert command of SQL
  • Statistics background with command of SAS as a platform and the following specific concepts / techniques: price elasticity analysis, consumer demand modeling, CHAID, experimental design (DoE), regression (logistic and OLS), principal component and factor analysis, CHAID, time series analysis and forecasting
  • 8+ years in Management Consulting, Analytics, Strategic Planning. Prior professional experience in Financial Services / Banking field a plus
  • Experience collaborating closely with business stakeholders, utilizing advanced analytic techniques to generate insights to inform key business decisions
  • Must be a clear communicator, capable of presenting analytic findings to small groups of senior-level business owners
22

Manager, Customer Analytics Resume Examples & Samples

  • Experience working in a data environment that is large and complex, typically referred to as Big Data
  • Experience in working to synthesize analytics results with market research for robust segmentation development
  • Interface regularly with senior team leaders and relevant stakeholders across the Adobe organization
  • Contribute to development and adoption of a “customer-centric” mindset across Adobe through analytical frameworks such as corporate and business unit customer segmentation – across individual, small business, and enterprise sectors
  • Identify growth opportunities for the business through the use of various analytical tools and techniques
  • Translate organizational goals and objectives to team and individual projects and deliverables
  • Be a domain expert for advanced customer analytics, segmentation, and targeting methodology in support of business unit objectives
23

Senior Manager, Customer Analytics Resume Examples & Samples

  • Develop and implement analytics and insights roadmap to advance customer LTV and segmentation, customer retention marketing strategies, cross-category propensity, product and UX, optimization and roadmap prioritization
  • Segment, prioritize, and socialize clearly distinctive customer segments based on demographics, purchasing behavior, lifestyle preferences, motivations and attitudinal insights
  • Partner with cross functional teams to leverage customer intelligence to drive and optimize web, mobile, and living room experiences
  • Provide an overall assessment of the business’ health by defining dashboards that synthesize and clearly communicate customer KPI's and life cycle trends
  • Be proficient synthesizing competitive intelligence, to survey the landscape and communicate relevant trends, opportunities and risks
  • Analyze and synthesize primary and secondary customer research, including focus groups, interviews, and surveys, to shape a deeper understanding of our customers
  • Support Marketing, Product Management, Design, Merchandising and Executive teams with ad-hoc customer insights needs
  • 2 years of experience in web analytics
  • 2 years of experience in marketing or campaign analytics
  • 2 years in a direct-to-consumer Internet or eCommerce business
  • 3 years of experience using a business intelligence (BI) tool (for example, Tableau) to create a report to specifications
  • Graduate degree in Statistics, Math, Economics or MBA from top school preferred
  • Experience and proficiency with SAS and/or R
  • Company Summary
24

Manager, Customer Analytics Resume Examples & Samples

  • 70% - Analytics & Insights Delivery
  • Champion analytics and collaborate with internal clients at various levels to deliver actionable insights under tight deadlines
  • Innovatively and accurately interpret business needs and requirements to add value and drive actionable outcomes from data analysis requests/studies
  • Lead in-depth analysis of customer segmentation & customer behavior across multiple channels to provide recommendations on customer experience & marketing optimization opportunities
  • Deliver outcomes of analytics studies to executives via story-telling presentations and automated dashboards
  • 20% - Thought-Partnership & Client Management
  • Build collaborative and productive relationships with clients by providing analytics-driven recommendations to achieve clients’ business objectives
  • Provide thought-partnership to clients to implement innovative analytics solutions
  • Leverage creative analytical thinking to ensure timely delivery of projects in ambiguous data environment
  • 10% - Data & Analytics Innovation
  • Collaborate with data enablement & IT teams to build and automate new datasets and capabilities for the organization (e.g. cross-channel customer journey data, )
  • Minimum 3-5 years in a data analytics role (preferably within the telecommunications industry)
  • Advanced SAS and SQL programming/query skills and in-depth knowledge of visualization tools such as Tableau, SAS VA, Power BI, etc
  • Demonstrated ability to derive business-impacting insights from large datasets and to effectively communicate insights to stakeholders and executives
  • Creative problem solving skills and ability to deliver results under deadline pressures
  • Strong interpersonal and collaboration skills with a proven ability to establish lasting relationships with clients
  • Bachelor’s Degree (preferable in Statistics or Computer Science)
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Manager, Customer Analytics Resume Examples & Samples

  • Develop and manage operational reporting to support managing and improving daily work
  • Interpret analytical needs and leverage data to support the achievement of organizational goals
  • Perform analysis to answer key business questions
  • Establish a measurement framework to support integrated management of Customer Service operations. Analyze performance and proactively develop recommendations for improvement
  • Act as a data storyteller, translating analytical work into easily-digestible analysis and actionable recommendations
  • Serve as a data liaison, translating between business needs and technical data requirements
  • Partner with Continuous Improvement team to convert data-driven insights into decisions and actions
  • Create, maintain, and insist on a workplace environment that promotes diversity, safety, fair and equal treatment of employees, open communications and the highest standards of ethical behavior
  • 2 or more years of analytics experience required
  • 2 or more years of experience in utility operations preferred
  • Statistical analysis
  • Data visualization
  • Business Objects (preferred)
  • Financial acumen
  • Excellent math skills
  • Exceptional problem solver
  • Strong attention to detail
  • Ability to not only point out what is not working, but also what is missing
  • Ability to gain credibility among peers and management leadership team
  • Curious and passionate about utilizing data to create business value
  • Approach problem solving with flexibility, diplomacy, and open-mindedness
  • Proactive self-starter, eager to collaborate and stay engaged
  • Creative, strategic thinker
  • Team player and strong collaborator