Manager, Advanced Analytics Resume Samples
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Manager, Advanced Analytics Resume Samples
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PB
P Batz
Pinkie
Batz
8885 Sporer Camp
Boston
MA
+1 (555) 330 3101
8885 Sporer Camp
Boston
MA
Phone
p
+1 (555) 330 3101
Experience
Experience
Dallas, TX
Manager Advanced Analytics
Dallas, TX
Flatley, Keebler and Brown
Dallas, TX
Manager Advanced Analytics
- Establish himself/herself as a key advisor with Brand Directors and Manager, Sales and Customer Development team members and the Marketing team
- Provide strategic advice to brands and customers derived from a strong analytical rigor and maintain focus on improving the effectiveness of our investments and resources
- Developing training, tools, templates, processes & procedures to support data science work across the organization and ensure high quality
- Developing and delivering data science training for CarMax as well as creating tools, templates and processes to ensure a consistent high quality of analytic output
- Hands-on data science work (model development, test design, segmentation/clustering analytics)
- Manages the development and business utilization of usage and purchase based competitive frames for growth strategy on current and new brands
- Running quick analyses / models to provide time-critical outputs
Houston, TX
Manager, Advanced Analytics
Houston, TX
Langworth Inc
Houston, TX
Manager, Advanced Analytics
- Conceptualizing, delivering and communicating analytically-driven solutions centered around digital marketing to help drive results for our clients
- 30% Cultivating and maintaining effective working relationships- internally and externally
- Provide on-going analytical support in regards to media/marketing mix modeling and attribution analysis for clients
- Providing input into the long term strategy for Canadian Tire’s Big Data ecosystem, including making recommendations to senior management
- Check for data integrity by conducting panel performance, examining outliers, missing values, expected ranges in data
- Own the propensity modeling program including the design, validation, scoring, implementation and maintenance phases
- Independently managing projects and stakeholder expectations across all of Canadian Tire Retail (CTR) including presentations to Executive Leadership Team
present
San Francisco, CA
Senior Manager, Advanced Analytics
San Francisco, CA
Gorczany-Maggio
present
San Francisco, CA
Senior Manager, Advanced Analytics
present
- Designing and refactoring DB systems for performance maximization
- Partners with Market Trends and Brand Insights to ensure effective market measurement. Assesses brand and competitive market performance
- Develops and champions a culture of consumer-focused and fact-based decisions that becomes internalized by business partners (marketing, retail operations, brand environment and finance), and becomes a foundational element for key decisions in the media optimization and Strategic Revenue Management process
- Manage work and tasks of offshore team
- Monitor the model performance and make ongoing corrections by executing extensive model testing strategies
- Assist in troubleshooting and resolving production issues
- Develop and evolve predictive scoring models relating to physician sensitivity to formulary
Education
Education
Bachelor’s Degree in Economics
Bachelor’s Degree in Economics
James Madison University
Bachelor’s Degree in Economics
Skills
Skills
- Ability to translate technical subject matter into relatable business terminology and respond to unexpected questions on the spot
- Communication - highly articulate, strong technical writing skills, meeting facilitation and one-on- one/small group interactions
- Ability to understand, integrate and synthesize a wide array of data to form insightful observations and clear, actionable business implications
- Excellent influence skills, including strong written and oral communication
- Ability to independently own a storyboard and determine best in class data visualization using Excel, Powerpoint, tableau, etc
- Demonstrates a collaborative work style with the ability to partner with a diverse set of professionals
- Showcase strong analytical and technical skills in data programming and visualization tools (i.e. SQL, Hive, SAS, R, Python, Tableau, etc.)
- Excellent follow-through, prioritization skills, and attention to detail
- Knowledge of at least one analytic tools (SAS, SPSS or R)
- Analytical mindset with knowledge and passion for media, data and technology
15 Manager, Advanced Analytics resume templates
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1
Senior Manager, Advanced Analytics Resume Examples & Samples
- Data ingestion pipelines from the company’s other information systems, largely Oracle and Teradata
- Relational database architecture in our team’s SQL Server environments
- Business Intelligence platforms centered around SQL Server Analytic Services
- “Big Data” work – data management, organization, analysis, and processing on a Hadoop computing cluster
- Large scale data processing and preparation for analytic models and machine learning algorithms
- Engineering high efficiency data delivery mechanisms on a large scale
- Design proper storage patterns of data to support various analytical systems
- Provide expertise and leadership on technical design and architecture
- Define and architect data loading into a ‘big data’ environment
- Work with product owners to analyze functional requirements and technical feasibility
- Assist in troubleshooting and resolving production issues
- Work with developers to identify project tasks and provide estimates
- Provide guidance on optimizing and performance tuning current production code
- Build monitoring, QA, and maintenance processes that ensure the ongoing reliability of built end products
- Manage work and tasks of offshore team
- Working experience in a Hadoop ecosystem
- Strong familiarity with SQL Server 2008r2 database and SSAS technologies
- Previous experience working with Sales, Marketing, and Customer Relationship Management system data
- Experience working with large volume web clickstream data
2
Manager Advanced Analytics & Modeling Resume Examples & Samples
- Create interactive tools using cutting-edge visualization techniques (beyond standard visualization software like Tableau, Spotfire, Qlikview etc.)
- Interpret & translate analytic output into insights
- Work closely with the Research Teams to identify opportunities for Advanced Analytics
- 2+ years’ experience in the field of advanced analytics and data mining
- A bachelor’s or Masters in a quantitative discipline
- A programming background and ability to prototype tools using at least one of the following languages: SAS, Python, R
- Strong background in advanced data visualization using d3, javascript, python based interactive visualization, R-Shiny, Google Charts
- Understanding of statistical output from procedures like clustering, machine-learning algorithms, regression modeling
- Passion for Big Data, ability to work with statisticians & marketing strategists in parallel
3
Manager, Advanced Analytics Resume Examples & Samples
- Own the propensity modeling program including the design, validation, scoring, implementation and maintenance phases
- Lead the design of Test and Learn methodologies to measure in-store marketing loyalty campaign effectiveness
- Assist with A/B/n and multivariate test set-up to optimize the customer experience online
- Extract data from the global customer database using SQL and SAS to parse, analyze and summarize patterns for recommendations to leadership
- Act as point of contact for business stakeholders to develop analytic solutions that align with strategic learning objectives that drive business growth
- Use data to build stories and develop creative visualizations for presentation of findings
- Partner with IT to ensure accuracy of data capture and external appends, as well as validation of logic for computed variables
- Attend vendor presentations to help evaluate investment in new analytic solutions
- Stay current on new analytic approaches to educate the team on data science innovations and improve current processes
- Manage the technical development of junior staff through formal and informal learning sessions
- Comprehensive knowledge of relational databases and 3+ years hands-on experience gathering, manipulating, and analyzing large sets of data
- 3+ years SQL and SAS programming experience with fluency in modeling procedures
- Fluency in advanced experimental designs such as stratified and matched-pair sampling, as well as ANOVA methods (e.g. factorial and covariate)
- In-depth knowledge of propensity modeling and data-driven segmentation methods including regression, survival analysis, generalized Bayes, neural network, decision tree, and clustering techniques
- Ability to independently own a storyboard and determine best in class data visualization using Excel, Powerpoint, tableau, etc
- Capacity to manage multiple projects and deliverables in a fast-paced environment
- Exceptional communication skills across audiences of varying technical levels
- Bachelor’s degree in a quantitative field (e.g. statistics, economics, engineering, etc.) and 4+ years experience in an analytics role OR Master’s degree in a quantitative field (e.g. statistics, economics, engineering, etc.) and 2+ years experience in an analytics role
- 2+ years experience with CRM and digital data in an analytics role within the retail, consumer product, financial services, technology, or professional services sector
- Previous experience using web analytics such as Omniture, Coremetrics or Google Analytics as a supplementary tool for analytics projects a plus
- Prior leadership experience a plus
4
Manager Advanced Analytics & Optimization Resume Examples & Samples
- Provide both leadership and hands on development for analytic projects
- Provide administrative leadership of an analytic team
- Lead the digital attribution efforts to maximize investment in on-line spend
- Design advanced analytical solutions to identify important online behaviors and recommend actions to drive desired outcomes
- Manage the ongoing model calibration of propensity and forecast models
- Distribute analytic findings throughout organization
- 7+ years of advanced analytical experience
- Ability to excel in a fast-paced complex business environment
- Proficient in SAS, SPSS, or R programming languages
- Experience with various statistical modeling techniques including linear and logistic regression, , clustering, segmentation, decision trees, neural networks
- Proficient with use of on-line digital data (i.e. Site Catalyst, DFA)
- Experience with on-line large-scale A/B testing or Multivariate testing
- Proven experience in forecasting, predictive modeling, and machine learning
- Familiar with the deployment of statistical modeling into e-commerce environments or call centers
- Demonstrated proactive and creative problem-solving skills
- Proven ability to champion project from inception to implementation
- 10+ years of advanced analytical experience
- Leadership of an analytics team
- Proven experience with Teradata
- Proven experience with Hadoop
- Experience with syndicated measurement tools (i.e. ComScore, Nielsen)
- Experience with Adobe Marketing Cloud
- Experience with Live Person
- Proven experience in presenting to c-suite level executives
- BS/BA in quantitative field (Statistics, Economics, Mathematics, Operations Science)
5
Manager, Advanced Analytics Resume Examples & Samples
- Performance Attribution Modeling: Owning and advancing existing proprietary models that identify connections between linear and digital T.V. conversions, and the corresponding media drivers. Working closely with the account teams to assess the challenge, discuss the possible solutions, and execute a plan
- Advanced Analytics: From identifying the analytics opportunity to presenting the insights that impact the strategic goals
- Data Visualization and Advanced Reporting: Assist with moving away from Excel centric reporting by creating interactive, web-based reporting built with best-in-class data visualization software
- MBA, or MS.preferred, in Statistics, Computer Science, or Marketing
- 5+ years experience in marketing analytics and / or research including media attribution, test design, and statistics applied to marketing (ANOVA, ANCOVA, multivariate, etc
- Knowledge of T.V. buying process, metrics, and data sources including Nielsen, Rentrak, and, familiarity with T.V. buying platforms is a plus (Core)
- Demonstrable strategic thinking and analysis skills, as well as the ability and confidence to make conclusions and recommendations from a business perspective
- The ability to translate results into clear, concise presentations, written reports, and data visualization
- Expert in Excel, proficient in a statistical software package (R, SPSS)
- Highly skilled in accessing data from relational databases (SQL, Python)
- Tableau or similar data visualization tools and SiteCatalyst required. Experienced with Teradata, MS SQL SSAS, Aster, Hadoop, and testing tools (Test & Target), or Ensighten a big plus
- Highly skilled / certified with Google Analytics and Adobe Analytics
- Web development skills a plus (Java)
6
Manager, Advanced Analytics Resume Examples & Samples
- Aids decision making through rigorous analysis that integrates a spectrum of internal and external resources. Proactively identifies risks and opportunities
- Collaborates with Insights and business partners to determine key research needs. With guidance from management, ensures projects are efficiently planned and managed and delivered in a manner that is clear, compelling, accurate and actionable against business goals
- Ensures development of integrated analyses, reporting and perspectives to inform global and regional brand strategies and key business issues (includes both advanced analytics and syndicated data/tracking)
- Helps drive a culture of deep consumer-focused and fact-based decisions that become internalized by business partners (marketing, retail operations, brand environment and finance), and become a foundational element for key decisions in the media optimization and Strategic Revenue Management process
- Partners with Market Trends and Brand Insights to ensure effective market measurement. Assesses brand and competitive market performance
- Inputs on and follows standards and best practices
- 3-5 years’ experience in consumer goods and/or supplier side analytics services required
- Proficiency with Marketing Mix Models, POS Data (databases)
7
Assistant Manager Advanced Analytics Resume Examples & Samples
- Conceptualizing and executing various Risk Management Big Data initiatives across all Retail Services portfolios
- Exploring new Big Data tools and techniques to optimize Risk strategies and to develop the relevant skill pool within Retail Services Risk team
- Enterprise experience of working with
8
Manager, Advanced Analytics Resume Examples & Samples
- Reviews programs to ensure they conform to quality standards
- Leads effort on the continuous improvement of the modelling process
- Leads effort on the development of new modeling techniques and procedures
- Communication of models to audiences outside of department; coordinates with business leads to development understanding, engagement, and branding
- Initiates and drives the resolution of complex tasks
- Maintain relationships with internal clients, anticipate their needs
- Keep commitments to internal stakeholders. Set expectations appropriately. Ensure on-time delivery of projects
- Communicate effectively with internal clients
- Produce statistical analyzes with a high level of quality. Suggest the best approach to follow to meet demand effectively. Ability to work in ambiguity
- Contribute to and maintain a healthy team environment
9
Senior Manager, Advanced Analytics Resume Examples & Samples
- Serve as Sr. Analytics consultant bringing innovative thought leadership and providing methodological guidance to internal clients as well as external consultants to solve complex and multifaceted business challenges
- Coach, train and mentor and manage internal and external analysts and data scientists
- Partner with functional business leads to create and deliver insightful, meaningful and actionable analyses to drive measurable results
- Work with functional analytics leads to define business problems, develop appropriate methodologies and analytic frameworks, define data requirements, perform statistical analyses, interpret results and produce actionable business insights that lead to measurable business and consumer experience performance improvements
- Responsible for managing project resources, timelines, budget and quality of deliverables
- Develop, own and maintain production analytics processes, standards and best practices
- Serve as subject matter expert on internal and external data and be a strong advocate of data quality, quality and master data standards and provide training and consultation to functional business unit partners
- 8+ years of experience developing and leading consumer engagement and/or marketing analytics teams, preferably in a retail or CPG company
- Strong statistical background with hands-on and leadership experience in many of the following techniques: generalized linear modeling techniques (e.g., linear regression, logistic regression, etc.), time series analysis, mixed modeling, clustering, factor analysis, decision tree (e.g., CHAID and CART), survival analysis, design of experiments
- Proven skills and experience using a variety of statistical analytics tools (SAS, R, SPSS, Knime, Matlab, etc.)
- Proven skills and experience using a variety of data management and data visualization techniques and tools (SQL, SAP Analytics, Tableau, Business Objects, Alteryx, etc.)
- Proven skills and experience performing data discovery and statistical analysis in a Big Data environment using a variety tools and techniques (HDFS, Map Reduce, Hive, Python, Spark, etc.) – Experience in SAP Hana environment preferred
- Attention to detail and time management to deliver high quality work for multiple projects while meeting deadlines. Proven ability to learn and expand in a fast-paced environment
- Demonstrated ability to translate complicated statistical modeling concepts in an easy-to-understand manner in order to effectively communicate the value and benefits of the statistical findings to business users and senior executives
- Demonstrated ability to foster strong client relationships
- Demonstrated ability to foster ideas and growth among a team of analysts
- Advanced degree in quantitative field (Mathematics, Statistics, Economics, Finance, Engineering)
- “Gets” Under Armour. Passionately embraces the challenge and effort to keep UA unique; committed to go the extra mile to build/protect the brand
10
Manager, Advanced Analytics Resume Examples & Samples
- Bachelor’s degree in Economics, Mathematics, Statistics, Marketing, Finance or equivalent. Quantitative graduate degree (e.g., Statistics, Applied Economics, Data Science) strongly preferred
- 4+ years of professional experience in a quantitative role in Analytics, Data Science, Marketing, Technology or Management Consulting preferred
- Professional experience solving complex business or marketing challenges by applying advanced analytics methods to a wide array of datasets
- Professional experience communicating analytic concepts, as well as project timelines, challenges and results, to technical and non-technical audiences
- Professional experience managing the work of one or more direct reports
- Demonstrated ability to quickly learn new programming languages, statistical methods and analytic approaches and to be a thought leader on these topics for team members and clients
- Fluency in Microsoft PowerPoint, Excel and Word
11
Manager Advanced Analytics Resume Examples & Samples
- Manages the development and business utilization of usage and purchase based competitive frames for growth strategy on current and new brands
- Contributes to the environmental assessment and impact on brand plans
- Directs the work-plan and quality of output of key partners on Due-to’s and program evaluation/ROI of all levers to impact growth objectives
- Synthesizes findings to ensure steady progress against brand strategies and objectives, impacts annual and strategic plans
- Provide accurate, timely and actionable analysis at the category/ brand levels to internal clients (Insights and Marketing) to improve cross-company portfolio position
- Support key company initiatives in knowledge building and applications strategy
- Supervise on-site and external vendors on meeting analytic standards and delivering superior impact
- Strong leadership, communication, project and client management skills
- Application oriented understanding of tools/practices to customize best solutions for business growth
- Generate/integrate insights from variety of information sources (scanner, panel, digital, etc.)
- Expertise in Marketing Mix (specially Digital), Market Structure, Price Modeling/Simulations, Assortment optimization, Choice Modeling
- Familiarity with attitudinal approaches (segmentation for targeting, need states for positioning, etc.)
- Can operate independently and prioritize workload with minimal supervision
12
Manager, Advanced Analytics Resume Examples & Samples
- Provide direction and coaching for market insight and analytical systems and process for the GBI organization. This includes direct and indirect reports working across primary and secondary market research, forecasting, competitive intelligence and sales analytics and Information Technology
- Assist in creation of strengthened strategic forecasting capability among several business unit teams
- Manage data governance process with Sales Planning and Operations Center of Excellence
- Manage implementing and maintaining external strategic partnerships for data analysis and systems
- Manage Advanced Analytics Team in
- BS or BA in business, marketing, statistics, mathematics, or related field is required. MBA or MS is preferred
- A minimum of 5 years of progressive experience in analytics, business and new product forecasting, information technology or a related field is required
- Candidates must have a proven track record of performance that demonstrates both strong personal and team leadership
- Direct people management, project lead and/or project management experience is required
- A minimum of 3 years’ experience managing people is preferred
- Working knowledge of Microsoft WORD; advanced EXCEL, PowerPoint skills, and expert knowledge of analytical tools (e.g. SPSS or SAS) is required
- Advanced knowledge of and experience with analytical, forecasting and secondary market research tools and techniques are required. Some knowledge of primary marketing research and competitive intelligence data is preferred
13
Manager, Advanced Analytics Resume Examples & Samples
- A minimum of 5 years business experience is required
- Exceptional knowledge and experience across breadth of statistical analytics techniques is required
- Expert consultative skills and business acumen required
- Expert skill in storytelling and developing presentations is required
- SAS programming skill is required
- Ability to travel up to 10% is required
- This position will be based in Titusville, NJ.Market Research
14
Manager, Advanced Analytics Resume Examples & Samples
- Bachelor’s degree in Economics, Mathematics, Statistics, Marketing, Finance or Quantitative graduate degree (e.g., Statistics, Applied Economics, Data Science) strongly preferred
- 4+ years of professional experience in a quantitative role in Analytics, Data Science, Marketing, Technology or Management Consulting
- Professional experience solving complex business or marketing challenges by applying advanced analytics methods to a wide array of
- Professional experience communicating analytic concepts, as well as project timelines, challenges and results, to technical and non-technical
- Professional experience managing the work of one or more direct
- Demonstrated ability to quickly learn new programming languages, statistical methods and analytic approaches and to be a thought leader on these topics for team members and
- Professional experience with several of the following: linear and logistic regression, discriminant analysis, dimensionality reduction, clustering, multivariate testing, text mining or complex data management and
- Expert knowledge of at least one of R, Python or Knowledge of SQL, Hive, Hadoop, Amazon Web Services, Linux and/or Javascript strongly preferred
- Fluency in Microsoft PowerPoint, Excel and
15
Manager, Advanced Analytics Resume Examples & Samples
- End-to-end management of Marketing Mix Modeling: managing data gathering, creating analysis file, building models, writing presentation and presenting to clients
- Lead thorough analytic responses to client strategic issues. Topics may include media mix modeling, customer acquisition, cross-channel attribution, and strategic budgeting decisions
- Work in an integrated fashion with client marketing insight and marketing professionals to make recommendations based on analyses and experience
- Proven track record of dealing directly with clients is required
- Expertise with advanced analytic techniques, such as multivariate regression analysis, predictive modeling, logistic regression, factor analysis, sales forecasting, response prediction, advertising effectiveness, consumer profiling, market mix and ROI measurement
- Knowledge of at least one analytic tools (SAS, SPSS or R)
- Comprehensive understanding of metrics: Media (e.g. impression, GRP, CPV etc.), Measurement analytics, Quantitative business measures (LTV, ROI, Effectiveness, etc.), Statistics (Correlations, sample sizing, t-value VIF etc.)
16
Manager, Advanced Analytics Resume Examples & Samples
- Define the Advanced Analytics as a Service roadmap
- Build MVP solutions for Professional Services and pilot clients (generally through Qlik)
- Evaluate 3rd party data sets and understand data limitations and quality; make recommendations on data set purchases
- Conduct research and analysis on frontier of retail analytics industry for Thought Leadership
- Define and execute on a tactical roadmap for each project
- Collaborate with product management to build repeatable solutions developed during customer engagements
17
Senior IT Manager, Advanced Analytics Resume Examples & Samples
- Lead the identification and development of innovative and flexible analytics Visualization & Reporting capabilities to provide strategic insights to our business to drive performance, growth and competitive advantage
- Partner with business product owners to define the IT capabilities, build roadmaps, establish project portfolio, prioritize backlog and deliver the solutions utilizing an Agile delivery model
- Provide technology leadership to influence and apply enterprise architecture to accelerate our ability to meet current business needs, to scale and to adapt to dynamic business needs
- Provide technology leadership in the area of analytics visualization to shape and design solutions and deliver effective user-centric and intuitive analytics tools and dashboards
- Drive self-service analytics models and solutions
- Attract, develop and retain top talent and build a high performing team and culture
- Manage team of resources who work with the business to shape Data and Analytics requirements and deliver solutions utilizing Agile IT sprint cycles
- Map out complex business processes to serve as reference for development of analytics solutions and advocates for business process simplification where appropriate to deliver robust and cost effective solutions
- Oversee progress of work in multiple Agile Scrum work streams
- Coordinate work streams, activities and initiatives across Product Lines as needed
- Write, manage, and clarify complex story points or assist Leads and Senior Analysts with the task
- Ensure compliance requirements are met, oversee documentation activities and participate in compliance activities as required
- Ensure successful business product owner engagement and completion of user acceptance testing
- Accountable for application support of Data Analytics platforms via Service Level Management with Application Service teams
- A Bachelor’s degree in a Statistics, Math, Computer Science or related technical field (operations research) required, Master’s degree preferred
- Minimum of 5 years’ experience with strong business analytics and Visualization IT experience required
- Minimum of 3 years’ supervisory and people management experience preferred
- Experience in the Medical Devices/Pharmaceutical/Healthcare industries with strong business acumen required, and Supply Chain knowledge/experience preferred
- Proven experience building and maintaining business warehouse and analytics capability required
- Proven experience deploying business analytics tools, business intelligence and visualization solutions in direct support of business functions required
- Demonstrated success applying Visualization/Reporting tools (eg. Tableau, Cognos, Qlikview, Qliksense, Bobj, Spotfire) and advanced analytical tools (eg. R, Machine learning, NLP, simulation & optimization) over Big data sets to deliver insights with positive business impact required
- Must have Agile experience
- Demonstrated Business Relationship management and experience partnering with operating company business partners to develop plans and deliver solutions required
- Must have Project Management experience
- Must have the ability to solve complex business problems and present recommendations to senior management effectively
- Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner required
- Must have a strong aptitude for empirical research to answer challenging questions with data
- Applied experience with big data platforms such as Amazon Web Services Red shift & E3, Cloudera, and Teradata Data preferred
- Demonstrated experience working across multiple franchises in a matrix environment to get results preferred
- Experience working with external partners, customers and data providers preferred
- Experience working with Application Services and key vendors preferred
- Demonstrated working experience with advanced analytics, statistical analysis and predictive modelling preferred
- Experience with unstructured Big Data preferred
- Experience with Mobile Analytics preferred
- This position will require up to 25% domestic and international travelIT Management
18
Senior Manager, Advanced Analytics Resume Examples & Samples
- Understand the Customer Lifecycle; generate actionable insights and recommendations to ultimately increase ARPU (Average Revenue Per User)
- Develop statistical methodologies to predict customer behavior and prescribe best course of action
- Uncover key customer segmentation and associated behavioral analyses
- Derive accurate customer Lifetime Value (LTV) and inform business decisions using an LTV lens
- Apply machine learning to build recommendation engines (eg: Marketing Personalization)
- Apply Speech/Text Mining and statistical analyses to the wealth of data in C3 (customer care center)
- Build new Products & Services for our customers, driven by Data Science
- Help our Customers understand better and engage more effectively with their own customer base (via segmentation insights, reports, new products, generated recommendations, etc.)
- Partner with Pricing team: leverage advanced analytics for Pricing Optimization and to inform pricing tests
- Establish a culture of rapid experimentation by being a ‘go to expert’ on A/B testing and MVT
19
Manager / Snr Manager, Advanced Analytics Resume Examples & Samples
- Collaborate extensively with business owners, subject matter experts, and go to market teams to develop and deliver analytics leveraging data asset to support CRO business, including responding to RFPs, optimizing design and execution of clinical trials, and improving risk management
- Oversee multiple projects from concept to completion
- Direct analytical methodology research, project execution, streamlining process and building efficiencies
- Line Management
20
Manager, Advanced Analytics CVM Resume Examples & Samples
- A minimum of a Bachelor's degree is required in relevant discipline such as Statistics, Econometrics, Mathematics, Operations Research or related subject. An advanced degree is preferred
- Experience with MS Excel and MS PowerPoint is required
- This position will be based in Titusville, NJ
21
Manager Advanced Analytics Resume Examples & Samples
- Understand business’ needs and convert business problems into analytical problems and devise elegant solutions for effective implementation
- Design, build and modify profit models based on historical trends and implement relevant forecasted performance metrics across acquisition and portfolio
- Recalibrate/redevelop the models as and when needed
- Measure the financial performance of acquisition campaigns, portfolio campaigns, price testing and forecasting performance on current and future campaigns
- Create Performance curves for all products, populations and segments where required
- Design and develop financial reporting for key business stakeholders (Quarterly/Annual updates - Presentations)
- Ongoing communication with the stakeholders based on Profit Model gating process at the time of development
- Responsible to create state of the art documentation process right from scoping out the business problem to analytical solution to implementation process
- Coordinate with key stakeholders across Portfolio Marketing, Product, Finance, Risk and GxT (Global Experience) teams for effective implementation of the analytics
- Identify new opportunities to analyse/model/segment customer behaviour that add value to bottom-line revenue/enhance customer experience
- Communicate analytical solution and financial benefits in a business language to the key stakeholders
22
Manager, Advanced Analytics Resume Examples & Samples
- Strong analytical and problem solving as well as good English language skills
- 8+ years of relevant experience in statistical analysis, machine learning, data mining, simulation or optimization
- Knowledge of relational databases query languages and/or open source products such as tools in Hadoop or Spark ecosystems
- Fluent programming skills in one of the statistical or mathematical software such as SAS, SPSS, Matlab, R, Stata and/or E-views
- Self-motivated, a fast learner, agile, a team player, eager to stretch and grow and possess challenging problems
- Knowledge of banking industry, customer journey, campaign lifecycle, marketing concepts will be an asset
- Knowledge in Java or Scala or Teradata will be an asset
- Ability to communicate, verbally and in writing, complex concepts to a non-technical audience
- Bachelor degree (graduate degree preferred) in a quantitative discipline such as computer science, engineering, statistics, mathematics, physics, finance and /or a relevant professional qualifications
- Home country returnees are encouraged to apply
23
Senior Manager, Advanced Analytics Resume Examples & Samples
- Bachelor's degree in a quantitative discipline such as Statistics, Econometrics, Mathematics, Operations Research or related subject
- 7 years business experience with at least 3 years in a commercial analytics related field
- Knowledge and experience across breadth of analytical techniques
- Knowledge of pharmaceutical industry
- Experience with the secondary data sources in the pharmaceutical industry, such as prescriber level data, patient level data, EMR data, etc
- Programming skills in SAS, R or other analytics software
- This position can be based in Horsham, PA or Titusville, NJ
- Expert consultative skills and business acumen
- Demonstrated experience in translating analytical findings to business insights and communicating them to non-technical audiences
- Demonstrated communication, interpersonal, and client handling skills through management or consulting experience. Effective in team interactions in a cross-functional environment
- Proven ability to work under tight timelines and prioritize among multiple projectsSales Administration
24
Manager Advanced Analytics Resume Examples & Samples
- Leading the development of the Marketing Attribution Model to optimize Marketing budget allocation and Marketing ROI
- Building predictive models to identify prospects, estimate response to marketing efforts, estimate customer value, predict customer segment affinity
- Designing sophisticated tests to collect the data needed to optimize strategies and develop the models listed in the prior bullet
- Developing and delivering data science training for CarMax as well as creating tools, templates and processes to ensure a consistent high quality of analytic output
- Leading the construction of an analytic infrastructure to support strategies and products that leverage advanced analytic tools (such as machine learning algorithms) [infrastructure includes resources needed to develop and implement analytic tools that drive batch and real-time processes]
- Hands-on data science work (model development, test design, segmentation/clustering analytics)
- Leading data science work across the organization (with team members, members of other teams, vendor teams, etc)
- Developing training, tools, templates, processes & procedures to support data science work across the organization and ensure high quality
- Partnering with IT to develop and maintain our analytic infrastructure
- Leading team, leading cross-functional initiatives for Digital Marketing and the analytic community as a whole [e.g. analytic community of excellence events]
- Strong analytic leader with a proven track record of providing actionable insights and influencing strategy
- Significant experience in data sciences with ability to lead projects from ideation/design through development and implementation/action
- Ability to communicate & influence business managers, directors & senior leaders for influence & action
- Ability to train and develop associates with limited background in data sciences to the point where they can perform analysis independently
- Ability to lead projects covering the following areas
- Undergraduate degree in Statistics, Economics, Mathematics, Industrial Engineering or Operations Research
- Graduate degree in Statistics or related field strongly preferred
- 5+ years of experience developing statistical models and/or machine learning algorithms for large organizations
- Experience leading cross-functional initiatives in large organizations
- Expertise in business analytics, data science/statistics
- Significant experience with machine learning, regression, experimental design, decision trees, etc
- Internal candidates should have successfully completed Sr. MAP
25
Manager, Advanced Analytics Resume Examples & Samples
- Execute and evaluate appropriate analyses (predictive modeling, cluster analysis, collaborative filtering, etc.) given an array of tactical and strategic objectives
- Utilize statistical and data manipulation packages to develop innovative approaches to complex business opportunities
- SME in both analytical data sources and tools/methodologies. Develop training and competencies within both Advanced Analytics team and broader analytics group
- Build and grow relationships with business stakeholders. Uncover business opportunities, translate to actionable analytic projects, and see those projects through from conception to implementation
26
Manager, Advanced Analytics Resume Examples & Samples
- A minimum of 6 years of progressive experience in analytics, business and new product forecasting, information technology or a related field is required
- Project management experience is required
- People management experience is strongly preferred
- Working knowledge of Microsoft WORD; advanced EXCEL, PowerPoint skills, and expert knowledge of analytical tools (e.g. SPSS or SAS or related analysis tools ) is required
- Advanced knowledge of and experience with analytical, forecasting and secondary market research tools and techniques are required
- Some knowledge of primary marketing research and competitive intelligence data is preferred
- Experience in building and working within outside partnerships to create a strategic sourcing model is preferred
- This position will be located in Somerville, NJ or Cincinnati, OH and will require up to 10% domestic travel.Market Research
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Manager, Advanced Analytics Resume Examples & Samples
- A minimum of a Bachelor's degree is required in relevant discipline such as Statistics, Econometrics, Mathematics, Industrial Engineering, Operations Research or related subject
- An advanced degree is most preferred
- Expertise in claims and patient data analytics is preferred
- Expert consultative skills and business acumen are required
- Pharmaceutical and Oncology experience is preferred
- This position will be based in Horsham, PA.Market Research
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Senior Manager Advanced Analytics Resume Examples & Samples
- Support the development of both risk and financial frameworks to further enhance the profitability and prudent credit risk exposure across International and Canadian Retail portfolios and align with key GRM risk appetite measures
- Analyze country and product P&L to optimize asset allocation based on risk appetite, while providing insightful recommendation to senior executives on portfolios outlook
- Recommend changes to existing credit policy and processes using a sound statistical and advanced analytics approach to optimize portfolio risk-return measures
- Collaborate with cross-functional teams in International and Canadian Banking to define best-practices
- A good understanding of finance, statistics, credit risk appetite and superior analytical skills
- Strong communication skills, both verbal and written, including good presentation skills and the ability to effectively deliver messages by adapting communication and material to varied audiences
- An entrepreneurial spirit as a self-starter, demonstrating "outside of the box" solutions where appropriate and a willingness to learn new technologies and tools - a passion for the field of analytics is a must
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Senior Manager, Advanced Analytics Resume Examples & Samples
- Collaborate with key internal stakeholders to develop data-driven behavioral segmentation and targeting of entities including payers, accounts, health systems, physicians and patients
- Support a robust suite of copay/out-of-pocket analytics. This includes copay program tracking, ROI measurement, benefit design, price sensitivity analyses and coverage gap studies
- Design and conduct post-hoc and a priori studies to measure program effectiveness and ROI using principles of cohort studies, and matched case-control studies
- Develop and evolve predictive scoring models relating to physician sensitivity to formulary
- Conduct portfolio, cross-channel and marketing mix optimization assessments
- Respond to various business questions with data-driven, actionable insights requiring the use of advanced data manipulation, synthesis and visualization techniques
- Work with stakeholders and business partners to integrate, interpret and communicate analytic outputs with recommendations for best action
- Utilize expertise in univariate and multivariate techniques, including General and Generalized Linear Models, Decision Trees, Structural Equation Modeling, variable reduction (EFA, PCA) Clustering
- Be able to reason with information/data, deliver actionable recommendations to key stakeholders
- Work transversally as needed
- Proactively propose analytical solutions to business questions and problems and implement suggested methods
- Provide concise analyses that go beyond a presentation of the facts to include a discussion of the associated business implications and recommended course of action
- Demonstrate strong business acumen, excellent communication skills and ability to succinctly express point view using both written and verbal communications
- BS/BA or Advanced degree in quantitative discipline
- Background in a decision sciences/marketing analytics function and/or experience with advanced quantitative methods (e.g. multivariate statistics, predictive models, segmentation, etc.)
- Advanced knowledge of SAS and/or R data manipulation, statistical procedures and visualization
- Experience with secondary pharmaceutical data sources including Rx, pharmacy claims, payer, formulary, HCP affiliations
- Strong written and verbal communication skills; strong presentation skills
- Demonstrated ability to partner with stakeholders and work in a team environment across departments
- Demonstrated project management and experience in managing outside consultants
- Position demands a ‘problem solving’ orientation. Successful candidates must be able to develop innovative, resourceful solutions to complex, unstructured problems with minimal guidance
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Manager, Advanced Analytics Resume Examples & Samples
- Manage a team of four (4) analysts
- Lead and execute key analytical projects focused on identifying continuous improvement opportunities
- Build and direct processes to provide data and insights to the operation
- Develop implementation strategies and post-implementation monitoring processes
- Work closely with Directors of Operations, collaborating on end-to-end projects from strategy through execution and measurement, and establishing feedback loops for ongoing optimization
- Communicate across channel teams, providing analytical overviews on key results to multiple levels of management
- Enable data-driven decision making by developing team to utilize and build expertise across a broad array of databases and tools
- Conduct research and ad-hoc analysis to support operational goals
- Bachelor's Degree or equivalent experience, 5-7 years
- Prior experience leading complex projects required
- Self-motivated, with a high degree of stamina and strategic thinking capability
- Strong verbal and written communication skills for exchanging information across multiple levels of management
- Demonstrated technical proficiency querying and analyzing complex data sets
- Demonstrated results in identifying and implementing process improvements
- Demonstrated ability to balance multiple initiatives and prioritize incoming requests
- Significant experience and expertise with Microsoft PowerPoint and Excel required
- Experience with SAS, R, Access or similar database tools preferred
- Experience with voice analytics and telephony data a plus
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Senior Manager Advanced Analytics Resume Examples & Samples
- Working with senior level business teams to identify and define actionable, high-impact analytics need and opportunity statements in a variety of areas across the enterprise. This would include projects in areas such as marketing, product development, supply chain, strategic planning, pricing, and more
- 10+ Years Professional Experience
- A flexible analytic approach that allows for producing results at varying levels of precision
- Evidence of being able to transfer solutions to business stakeholders for successful adoption and value realization
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Manager, Advanced Analytics Resume Examples & Samples
- Acting as the in-house expert for Hadoop big data technologies (Hive, Spark, Hbase, Sqoop, etc) – from data ingestion to the development of machine learning algorithms
- Driving the expansion of the Big Data Analytics roadmap in Canada with a focus on marketing personalization
- Providing autonomous hands-on delivery of advanced analytical projects, including predictive models and machine learning engines, using all types of data sources (structured/unstructured)
- Working with the Technology and Data Management teams to recognize and ingest, clean, aggregate and integrate data from various data sources in the Hadoop ecosystem
- Providing input into the long term strategy for Canadian Tire’s Big Data ecosystem, including making recommendations to senior management
- Independently managing projects and stakeholder expectations across all of Canadian Tire Retail (CTR) including presentations to Executive Leadership Team
- Developing strong relationships with stakeholders, confirming the overall Advanced Analytics work plan is always aligned with business objectives and priorities and maintaining regular communication of project milestones
- Cultivating a culture of exploration and excellence; inspire your team to exceed expectations, challenge convention and above all, realize their full potential
- Providing coaching, mentorship and professional development opportunities to your team
- Post-secondary education in Computer Science, Mathematics, Statistics, Engineering or other numerate discipline required – advanced degree preferred
- Advanced level programming in R and one of the following: Python, C/C#/C++ and/or Java
- 2+ years of experience working with Hadoop ecosystem (MapReduce, Spark, Pig, Hive, Sqoop, HBase)
- Working experience implementing machine learning algorithms and predictive analytics models
- Experience working with/analyzing log data and unstructured data
- Proficiency in SQL and/or SAS
- Ability to influence and work collaboratively with internal and external stakeholders
- Strong, concise communication skills
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Manager, Advanced Analytics Resume Examples & Samples
- 2+ years of professional experience with SAS programming and/or statistical software tools such as SAS Enterprise Miner, SPSS, or R
- 5-8 years experience (or 2-5 years with an advanced degree) preferred
- 2+ years of experience in Vaccines or Buy & Bill pharmaceutical business model preferred
- 2+ years of experience in ecommerce site strategies and discount optimization and effectiveness measurement preferred
- Demonstrate strong cross-matrix collaboration with other functions such as Finance, Forecasting, Payer Analytics, Marketing Operations (Multichannel Strategy), etc.; Ensure close partnership with business stakeholders in Marketing and Sales and a strong understanding of the top business priorities of focus; Engage with Global partners, as appropriate, to share best practices and learning where appropriate
- Strong business acumen; Experience/understanding of the pharmaceutical industry and the evolving and rapidly changing healthcare environment
- Demonstrated knowledge of pharmaceutical data and pitfalls/appropriate considerations when using this information appropriately for advanced analytics applications
- Demonstrated communication and presentation skills (both oral and written) in addition to strong project management skills
- In depth knowledge of multivariate statistics (cluster analysis, regression models, experimental design, etc.) ; Understanding of machine learning, supervised and unsupervised modeling techniques, and probabilistic models of complex systems with “big data” sources; Experience with SQL and in-database processing in a Teradata environment as well as data visualization tools such as Tableau, JMP, Qlikview, etc. a plus
- Ability to work on several projects simultaneously and under challenging timelines
- Adept at learning and applying new methods and technologies; Possess analytic curiosity to seek out and develop potential solutions and drive continuous improvement; motivated by challenging, complex problems; proven ability to interpret customer needs and develop appropriate solutions; strong negotiation and influence skills
- Ability to effectively build relationships across teams with a track record of collaborative partnerships to develop a solution and influence recommendations
- Highly effective at presenting complex, technical information, concepts, and analysis in a compelling and persuasive manner to non-technical audiences
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Manager, Advanced Analytics Resume Examples & Samples
- Assist cross functional teams in developing robust/sound experimental designs, develop questionnaires, train on relevant statistical tools and participate in executing project tasks for cross-functional project initiatives
- Apply advanced modelling techniques to segment consumers, to understand drivers of consumer liking, triggers of shopping which are used to guide new product development, existing product improvement to facilitate planning and implementation of marketing strategy
- Work with cross functional teams to identify white space for new product development
- Check for data integrity by conducting panel performance, examining outliers, missing values, expected ranges in data
- Build templates to streamline process and improve efficiency
- Develop methods to link data from different sources and to understand their relationships to help gain deeper understanding of the consumer, products, process and enology and viticulture practices
- Proactively identify the need for specific analysis and programs, and marshalling the resources to evaluate and resolve the most challenging strategic issues
- Attend and occasionally lead project meetings and presentations
- Develop strong external contacts to maintain awareness of developments in the field to facilitate application of relevant processes to CBI
- Responsible for understanding and complying with applicable quality, environmental and safety regulatory considerations
- This job description reflects management’s assessment of essential functions; it does not prescribe or restrict the tasks that may be assigned
- MS degree in Food Science with Sensory emphasis or Experimental Psychology required
- 8+ years’ experience in the food/consumer products preferred
- Experience with various quantitative analysis to include: Max-diff Conjoint, Turf, basket, Decision Tree, Random Forrest, Time Series, MDS, PCA, Correspondence , PLS, CCR, Cluster, Mixed Modelling, MANOVA, ANOVA, ANCOVA, GPA, Response Surface design, Mixture design
- Skilled in the use of SPSS, SAS, JMP, LatentGold, Unscrambler, Matlab, Design Expert, XLSTAT, Sawtooth, MS Excel, MS Word and MS PowerPoint at an advanced level
- PhD in Food Science/Sensory Science with a minor in Statistics/Marketing Research or a Master’s Degree in Statistics or Marketing Research
- 8+ years’ experience in Sensory Analysis, Consumer Science, or Market Research
- Wine and/or alcohol beverage industry experience a plus
- Minimum supervision and strong planning and organizational skills
- Excellent communication skills (written and oral) and strong technical writing skills
- Excellent interpersonal and team skills, which foster working relationships throughout CBI and outside groups
- Statistics - experimental designs, segmentation, regression modelling, mixed modelling, choice modeling, binomials, multivariate, partial least squares
- Time Management – manage timelines and project milestones with customers
- Communication - highly articulate, strong technical writing skills, meeting facilitation and one-on- one/small group interactions
- Self-Awareness / Personal Impact
- Encouraging Open Dialogue
- Functional / Technical
- Planning & Priority Setting
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Manager, Advanced Analytics Resume Examples & Samples
- Solid understanding of Big Data (Hadoop), NoSQL software architectures and Restful APIs especially in the personalization or digital marketing domain
- Proven and strong experience working on customer insights and analytics across retail, digital marketing or other business to consumer organizations
- Strong experience working in breadth of cutting edge technologies to help come up with the right technical architecture for emerging personalization needs
- Prior experience in working with organizational change management/leadership and process change management
- Strong experience evaluating vendors and products both technically as well as functionally
- Demonstrate excellent communication skills with the ability to synthesize and explain complex technology terms and stories across the organization to build credible relationships
- Have the ability to influence, connect and collaborate with a variety of groups and personalities
- Strong analytical, prioritizing, interpersonal, problem-solving, budgeting, project management (from conception to completion) skills leading various IT lifecycle initiatives in a fast-paced and ever changing environment
- Takes ownership and responsibility for actions, behaviors and contributions
- Flexible and Strong leader with an ability to inspire and motivate self and others to high performance, willing to roll up his/her sleeves to move the team and company forward
- Ability to apply the right SDLC methodology (Agile, Waterfall, Rapid Prototyping) to execute projects. Effective application of agile software development methodology
- Strong knowledge of DevOps, building monitoring and operations capabilities for 24/7 operations
- Bachelors Degree required (technical or business undergrad degree a plus)
- Prior experience with Agile software development methodologies is a must
- 2+ years’ Experience at a manager level or above delivering technology capabilities for a multi-national company with annual budgetary responsibilities
- 3+ years leading teams on a project level basis; formal managerial experience preferred but not required
- 5+ years of software engineering with projects of increasing scope, scale and complexity
- 2+ years’ Experience managing third party vendor relationships
- 7+ years of IT systems experience in one or more of the following areas, with demonstrated progression of responsibilities
- Application delivery
- Experience building capabilities using Big Data or NoSQL technologies
- Software product management
- IT/system product design and product strategy
- Organizational development
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Manager, Advanced Analytics & Insights Resume Examples & Samples
- Work across several clients on ad hoc and ongoing client specific projects
- Pioneer innovative approaches to address complex research and measurement challenges
- Analyze marketing data from conceptualization through presentation of the data (data visualization and storytelling); communicate complex concepts to nontechnical audiences
- Build frameworks that capture campaign performance, inform optimizations and impact future plans
- Lead KPI and key metrics reporting for in-campaign performance; determine behavior / brand impact, and ROI
- Construct and execute "test and learn" measurement and consumer research roadmaps tied to business goals
- Evaluate new and current data partners and new approaches for highest quality results
- Communicate opportunities, learnings and recommendations with authority and credibility
- Command expertise in media concepts, terminology, media math and media plan execution
- Work in partner with client research, insights and analytics team; have deep knowledge of client’s business goals and challenges
- Proactively educate internal and external clients on research, tools, technology, and approaches
- 3-5 years in media / marketing research, data analysis, or analytics
- Bachelor’s degree in advertising, business, engineering, statistics, marketing, or similar discipline
- Demonstrated ability to work with large data sets
- Experience with multiple methodological approaches for consumer, media and brand insight
- Strong grounding in traditional and digital media research, such as advertising effectiveness, ROI
- Experience with statistical software packages, especially SAS and SPSS, strongly preferred
- Excellent computer skills; PowerPoint and advanced Excel
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Manager, Advanced Analytics Resume Examples & Samples
- Collaborates with Insights and business partners to determine key research needs. With guidance from their manager, ensures projects are efficiently planned and managed and delivered in a manner that is clear, compelling, accurate and actionable against business goals
- Helps drive a culture of deep consumer-focused and fact-based decisions that becomes internalized by business partners (marketing, retail operations, brand environment and finance), and becomes a foundational element for key decisions in the media optimization and Strategic Revenue Management process
- B.A. /B.S. minimum; advanced degree in Business (MBA) or Social Science (MA, MS in Economics or Statistics) advantageous
- Proficiency with Marketing Mix Models, Syndicated CPG Data / POS
- Ability to help business partners frame key issues and apply information against to address
- Ability to operate in a collaborative, team-based, performance-driven manner. Ability to earn respect for functional skills and become a valued and integrated partner to the brand and corporation
- Excellent influence skills, including strong written and oral communication
- Ability to leverage insights to inform business decisions. Must project him/herself to others through actions and manner to convey personal credibility, professionalism and integrity
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Senior Manager, Advanced Analytics Resume Examples & Samples
- Advanced degree preferred Professional experience ideally with a CPG company, retailer, or syndicated data provider
- Strong consulting and influence skills
- Strong presentation and communications skills
- Strong project management and supplier management skills Understanding of JMS P&L drivers in order to make actionable business recommendations
- Ability to distill large amounts of highly technical information into simple, concise, and easily comprehendible/relatable concepts
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Manager Advanced Analytics Resume Examples & Samples
- Serve as a functional expert that sees beyond data and numbers and has a strong understanding of business needs
- Manage delivery of complex analytical engagements and synthesize results for socialization
- Lead the development of analytic tools and data solutions for internal and external clients and ensure adoption
- Lead data integration efforts to promote faster turnaround of analytics
- Evangelize the power of Advanced Analytics throughout the organization
- Working with key stakeholders in developing project requirements, analytic plans, timelines, and other materials related to the deliverable
- Managing complex (sometimes concurrent) analytical engagements with vendors
- Assisting with data collection, data validation and transformation
- Ensuring timeliness, quality of analytical output and valuable insights
- Running quick analyses / models to provide time-critical outputs
- Creating compelling presentations that provide actionable insights and recommendations
- Assisting leadership in presenting results to key stakeholders
- Following-up to ensure adoption of insights
- Potentially managing and mentoring junior staff members and project team colleagues
- 5 - 7 years of experience with advanced analytic techniques, such as multivariate regression, predictive modeling, sales forecasting, advertising effectiveness, content measurement and ROIs
- Degree in quantitative field (e.g., Mathematics, Statistics, Economics, Data Sciences)
- Background in a decision sciences/marketing analytics function and/or experience with advanced quantitative methods
- Media / Digital Agency and/or CPG experience a plus
- Team management experience a plus
- Familiarity with Marketing Mix, Price Elasticity modeling and multi-channel attribution techniques
- Experience managing smaller project teams and delivering / presenting results to an audience in a clear, concise manner through report writing, Powerpoint presentations and meeting conversations
- Ability to roll up sleeves and build statistical models and custom analyses as needed
- Fluency in business intelligence tools (R, SAS, SPSS, etc.) and data visualization tools and techniques
- Highly motivated to achieve and collaborate as well as innovate
- The ability to work independently and be flexible to changing priorities in a fast-paced environment
- Excellent interpersonal skills with a positive and cooperative attitude that fosters collaboration within the team and across business units/functions
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Manager Advanced Analytics Resume Examples & Samples
- Establish himself/herself as a key advisor with Brand Directors and Manager, Sales and Customer Development team members and the Marketing team
- Partner with Brand and Shopper Insights to identify and define business issues requiring analytics and then scoping the resources needed to address them
- Clearly and concisely present their findings and recommendations in a non-technical way to business leaders in multiple functions
- Provide strategic advice to brands and customers derived from a strong analytical rigor and maintain focus on improving the effectiveness of our investments and resources
- Leverage established industry relationships to negotiate contracts with the supplier community to ensure ConAgra becomes a preferred partner with our vendors
- Continuously deliver high quality analytics with a focus on driving results
- 5+ years of experience producing high quality, well-regarded insights & analytics work, preferably in the consumer packaged goods industry
- Proven track record of delivering actionable business recommendations, influencing decisions, and impacting results
- Strong priority management skills so to ensure analytical resources are leveraged and applied to the most important business issues
- A proven record of turning insights into actions with our brands, marketing and customers
- Some knowledge of mix modeling, discrete choice modeling, MAPS (Merchandising, Assortment, Pricing & Shelving) analytics, market basket/ structure analysis
- Experience working with big data sets (Loyalty card, transaction, social media, etc.)
- Proven strong oral and written communication skills, especially the ability to explain difficult concepts in simple, applicable business terms
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Senior Manager, Advanced Analytics Resume Examples & Samples
- Manage a team of Math and Science PhD’s and providence technical and professional guidance
- Produce an operational plan for the requirements and epics produced by the Chief Data Scientist and Product Management in agile environment
- Provide technical design expertise to build highly scalable parallel analytics and machine learning algorithms, running on Aster’s MPP platform, using its Java and C function APIs
- Collaborate closely with Analytics Engines team leadership and engineers for end to end design and implementation of the analytic functions and features
- Collaborate with QA leadership and engineers to develop tests and verify metrics for analytic functions results and model prediction quality
- Drive the development and support of key analytic features and functions throughout its life cycle, from conception to support and enhancement
- Drive continuous improvement by investigating alternative algorithms and technologies and presenting them for architectural review
- MS/PhD degree in computer science/engineering preferred
- 5+ years of relevant industry or research experience preferred
- Experience in database optimization or execution a plus
- Experience in in-memory data processing systems a plus
- Experience in Hadoop, Spark, and related technologies a plus
- Experience in Docker, Kubernetes and other DevOps technologies a plus
- Experience in distributed file systems (Ceph, HDFS, etc) a plus
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Assistant Manager Advanced Analytics Resume Examples & Samples
- Education: Bachelor’s degree in a quantitative discipline: Comp. Sc., Statistics, Operations Research, Economics, Mathematics from premier institutions
- Experience: 2+ years of relevant experience
- Text Mining
- Financial Services industry experience especially in Risk Analytics is preferred
43
Manager, Advanced Analytics Resume Examples & Samples
- Collaborate with cross-functional teams in International and Canadian Banking to define best-practices on risk reporting and integration of financial and risk metrics
- Demonstrate strong business acumen in supporting the business lines with risk proposals to implement new origination strategies and retail risk solutions
- Leverage local insight, existing technologies and external industry consultants to provide strategic recommendations and project implementation plans
- Showcase strong analytical and technical skills in data programming and visualization tools (i.e. SQL, Hive, SAS, R, Python, Tableau, etc.)
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Senior Manager Advanced Analytics Resume Examples & Samples
- Deliver advanced statistical and mathematical models to provide insights within the organization that lead to fact-based decision making
- Work with business partners to scope business questions and identify where advanced analytics can have the greatest impact
- Work cross functionally within IT to implement models in production environment
- Manage multiple projects concurrently
- Minimum Level: 1-2 years
- Preferred Level: 3-5 years
- Advanced machine learning techniques and algorithms, e.g. gradient boosting, random forests, neural network, SVMs
- Advanced statistical techniques, e.g. Bayesian, sampling and experimental design
- Data visualization tools, e.g. Tableau or Spotfire
- Excellent knowledge in R
- Software development experience and programming in Python, C++ or Java
- SQL and relational database
- Knowledge of Big Data and Hadoop-stack technologies
- Knowledge of OLAP is a plus
- Knowledge of MapReduce and parallel programming is a plus
- Experience with various sensor data is a plus
- Experience with image processing is a plus
- Experience in transportation industry is a plus
- Knowledge of Deep Learning is a plus
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Manager, Advanced Analytics & Insights Resume Examples & Samples
- Manage development of editorial content series that highlights trending topics and best-in-class brand activations through bi-weekly reports
- Understand dynamics of the market, and key audience segments (e.g. Millennials, Gen Z) and produce actionable insights, implications and client recommendations
- Utilize agency proprietary approaches and syndicated data to create new learnings that can be used by the planning teams
- Produce best practice and POV documents focused on trending media topics to educate clients and internal teams
- Manage a global connection platform, accessed by teams across the globe, disseminating media insights, consumer trends, and strategy documents
- Curate industry thinking, research, and news to educate clients and internal teams through regularly distributed reports
- Support usage of agency apps by providing training and case studies to the strategy teams
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Senior Manager, Advanced Analytics Resume Examples & Samples
- Interest, Intent, Affinity Prediction of customer education & engagement, base value management (upsell and cross-sell), loyalty and retention programs
- Campaign Response Optimization
- Customer base segmentation
- Channel optimization
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Manager, Advanced Analytics Resume Examples & Samples
- Act as the lead in the development of new analytic platforms, under the direct guidance of the CAO
- Within the analytic function, develop and own analyses related to media attribution
- Constantly look for ways to improve the usage of Horizon’s existing data and analytics infrastructure
- Work with stakeholders to improve current analytic processes, and develop new capabilities that set us apart in the marketplace
- Use automation and technology to increase efficiency and to provide the infrastructure to scale
- Bring an “outside in perspective” to analytic development; explore, identify and assess external best practices - and translate to the relevant application internally
- Individual project management and execution
- 3-5 years of experience required in the Advanced Analytics realm, preferably in media or an adjacent field
- Excellent problem solving skills and a dogged determination to work an issue through to its satisfying conclusion are both a must
- Consulting skills – can explore business view and work with them to develop mutually owned solution; can solve problems in complex situations using creative and conceptual reasoning
- Persistence: Demonstrate tenacity and willingness to go the distance to get new things done
- Comfortable in dealing with ambiguity and managing change, plus the capacity to move through road-blocks with enthusiasm and alacrity
- Analytical mindset with knowledge and passion for media, data and technology
- Creative thinker that is willing to challenge the norm to improve analytic processes
- Proactive individual with strong problem solving skills and an entrepreneurial spirit
- Collaborative, can-do attitude a must
- Pragmatic – seeks and develops solutions understanding and communicating the relevance to others
- Proven effectiveness in managing business relationships
- Experience in fast-paced environment, possessing the ability to work on multiple projects simultaneously
- Deep expertise in advertising platforms and/or the ad tech industry preferred
- Exposure to large data sets (“big data”) and analysis thereof a major plus
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Senior Manager, Advanced Analytics Resume Examples & Samples
- Drives an externally-oriented LS&Co. culture that builds superior insights for key initiatives
- Provides strategic thought leadership around the business implications of external consumer and marketplace knowledge
- Drives results by proactively identifying business opportunities based on consumer and marketplace understanding
- Delivers timely and integrated analyses leveraging both various research techniques and data sources to provide an understanding of the external environment affecting the brands, and key actions management/business partners should take to win in a rapidly changing and increasingly competitive marketplace
- Develops strong and effective working relationships within the function and with key business partners to enable actionable consumer and marketplace insights
- Aids decision making through rigorous analysis that integrates knowledge from a spectrum of internal and external resources and from experience. Proactively identifies risks and opportunities
- Collaborates with Insights and business partners to determine key research needs. Ensures projects are efficiently planned and managed and delivered in a manner that is clear, compelling, accurate and actionable against business goals
- Ensures development of integrated analyses, reporting and perspectives to inform global and regional brand strategies and key business issues (includes both custom research and syndicated data/tracking)
- Develops and champions a culture of consumer-focused and fact-based decisions that becomes internalized by business partners (marketing, retail operations, brand environment and finance), and becomes a foundational element for key decisions in the media optimization and Strategic Revenue Management process
- Drives, develops and follows standards and best practices
- B.A. or B.S. MBA/MA/MS (in Economics or Statistics) Preferred
- 5-8 years’ experience in consumer goods and/or services required. Apparel experience desirable
- Experience in full range of quantitative market research methods, including advanced statistical techniques (conjoint, regression, factor and cluster analysis)
- Proficiency with Marketing Mix Models and experience with In-market/Store testing necessary
- Familiarity with qualitative market research methods, including primary survey research techniques, concept-product testing, segmentation, and advertising research helpful
- Ability to help business partners frame complex key issues and apply a variety of insights and information to address business issues
- Ability to operate in a collaborative, team-based, performance-driven manner. Ability to earn respect for functional expertise and become a valued and integrated partner to the brand and corporation
- Ability to leverage insights, drive adoption and identify/advocate against business opportunities. Must project him/herself to others through actions and manner to convey personal credibility, professionalism and integrity
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Engagement Manager, Advanced Analytics Resume Examples & Samples
- Work with clients to understand key business challenges, formulate business problems
- Represent Clarity at client meetings with a goal of increasing face time with key executives and decision makers. Leads proposal and statement of work (SOW) development including defining business objectives, solution approach, scope, deliverables, client responsibilities, staffing roles, pricing, and risk mitigation
- Builds client relationship by understanding client business and propose analytical solution to institutionalize Analytics across Client organizations
- Proactively identifies potential issues and drives resolution to avoid customer impact and facilitate continuous improvement
- Leverage ideas across clients and domains to spot opportunities and generate revenue and engagement
- Provides complex metrics and reporting support to all relevant stakeholders
- Play a key role in client management, leading and mentoring project teams, and working with the executive team on new initiatives and business development
- 6 – 12 years of relevant experience with a Bachelors / Master’s degree in Engineering, Business, Economics/ Statistics or equivalent
- Possess strong analytical/ logical thinking skills and clarity of thought
- Ability to communicate clearly and present to senior leadership/executives
- Enable and demonstrate innovative thinking and inspire innovative action
- Leverage communication to inspire others. Exhibit a commitment to being a team player with a flexible “can do” attitude and strong interpersonal skills
- Demonstrate the knowledge, skills and abilities concerning global business fundamentals, business models, ethics, competitive analysis and cross-cultural/geographical sensitivities
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Manager, Advanced Analytics Resume Examples & Samples
- Two or more predictive analytics tools, including but not limited to R, Revolution R, SAS, SPSS, MATLAB, MicroStrategy and Tableau
- Statistical modeling, analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing (A/B testing) and optimization algorithms
- High-level programming languages (e.g., S, C++, Python, Julia)
- NoSQL databases and tools (e.g., Hadoop, Hive Spark)
- Exceptional written and oral communication and presentation skills
