Jenson Lee Email and Phone Number
Jenson Lee's Location
Toronto, Ontario, Canada, Canada
Jenson Lee's Contact Details
Jenson Lee work email
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About Jenson Lee
Analytics consultant with more than 10 years of marketing / customer analytics experiences across a myriad of industries, with a stellar track record of identifying strategic insights from massive volumes of data, visualizing trends / storytelling such that it makes sense to all levels of stakeholders, and managing quantitative projects from conception to delivery.................................................................................................................................................Specialties: ● Strong verbal, written, and interpersonal communication skills● Adept at presenting complex information clearly and proposing recommendations concisely● Quantitative market research skills utilizing statistical packages including R, SAS, SPSS, Stata, and MS Excel (incl. VBA / Macros)● Remarkable understanding of and willingness to learn proven market research methodologies (i.e. Econometric modelling, consumer segmentation, clustering analysis, forecasting, customer satisfaction, price sensitivity, CHAID, TURF, etc.)
Jenson Lee's Current Company Details
Jenson Lee Work Experience Details
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Director Of Marketing Analytics, U.S. & CanadaPopeyes Louisiana Kitchen Jan 2022 - PresentMiami, Florida, Us● Led a team of managers, analysts, and data scientists accountable for performance analyses, sales planning, margin / profitability, marketing calendar development, and market test analyses among other ad hoc analytical priorities for the Popeyes® brand in the U.S. and Canada● Managed day-to-day operations of the Marketing Analytics team to deliver business results through high quality consumer products / experiences on web / mobile platforms● Strengthened the technical sophistication of the team through training / coaching to efficiently generate insights from restaurant- and guest- level data● Orchestrated thoughtful and data-driven marketing strategy in a highly visible position to drive our marketing activations forward in local / national markets● Assessed promotional activities including top-line and product mix across guest segments, dayparts, service modes, and geographical dimensions leveraging first- and third- party software / databases such as AWS Redshift, AWS Athena, Snowflake, and Tableau● Identified long-term growth opportunities based on synthesized researches, analyses, and a strategic view of industry trends to create compelling guest experiences that further differentiate Popeyes® from others in the market● Created and optimized analytical tools to facilitate regular reporting and streamline insights generation● Developed pricing and promotional strategy using financial modelling in Excel and Hyperion● Collaborated with teams across the organization to translate data-driven insights into marketing actions that drive guest experience improvements, top-line sales gains, and bottom-line profit growth● Partnered with cross-functional teams to bridge the gap between business and IT / Engineering roles to architect complex data integration projects that drive best-in-class guest experiences● Presented analyses and insights regularly to the senior leadership team to inform strategy and track performances of various initiatives
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Director, Digital & E-Commerce AnalyticsWhole Foods Market Apr 2021 - Dec 2021Austin, Tx, Us● Led and grew the E-Commerce Analysis and Business Intelligence (BI) team of 3 analysts and data scientists. Accountable for day-to-day team operations, hiring / recruitment, talent development, long-term planning, and strategic initiatives● Oversaw the team’s execution of industry / market research, trend identification, customer data analysis, and competitor analysis to formulate marketing insights to support marketing strategy development● Prioritized analytics and BI activities effectively to balance short- and long-term organizational, business, and strategic imperatives● Championed data-driven efforts to understand customer preferences / behaviors and optimize marketing performances● Collaborated with key stakeholders on the data warehouse team and worked closely with data engineers to align on data management, analyses, and modeling activities● Consulted with business leaders on consumer engagement and related initiatives, serving as a trusted advisor from an E-Commerce Analytics perspective● Advised on the appropriate application of machine learning, data mining, and statistical algorithms to develop actionable, creative, and data-driven insights based on large and complex datasets● Applied knowledge of advanced analytical techniques for customer targeting, incrementality measurement, and campaign optimization, not limited to regression / classification models, principal component analyses, and time-series forecasting● Authored SQL and API codes to automate, extract, and integrate structured / unstructured data at scale from multiple internal / external sources in various formats● Validated custom Whole Foods Market customer segmentation, targeting, and media effectiveness models using empirical data● Compiled weekly / monthly / quarterly key business metrics presentations to inform senior leaders about business performances, support financial planning / forecasting, and identify opportunities for further efficiency improvements -
Senior Manager, Marketing AnalyticsWhole Foods Market Apr 2018 - Mar 2021Austin, Tx, Us● Developed and managed analytical dashboards that report on the performance of the on-demand grocery delivery channel across a number of key indicators on an ongoing / ad-hoc basis● Synthesized and transformed various data sources using SAS, Teradata SQL, and Amazon Redshift SQL to engineer data cubes / views that accurately measure the drivers of business performances● Analyzed a variety of customer and transactional first-party data to optimize the Amazon Prime at Whole Foods Market loyalty program performance metrics against traffic and margin goals● Consolidated third-party data from Nielsen Spectra™ to onboard demographics, consumption, media, and other behavioral data assets to create a comprehensive profile of the Whole Foods Market shopper● Optimized the vendor budget by leveraging the capabilities of third-party data partners / CRM providers and external software tools to meet the analytics requirements of the Marketing Analytics team● Participated in the shaping and designing of the Amazon Prime at Whole Foods Market loyalty program that rolled out across all U.S. Whole Foods Market physical stores in the summer of 2018● Maintained a proprietary customer segmentation model and activated / targeted segments with the greatest forecasted propensity to respond● Presented campaign performance reporting / analyses to key brand / category activation teams and offered recommendations for future campaign executions● Collaborated with cross-functional stakeholders on the E-Commerce team, translating business questions / inquiries into analytical workflows with clear milestones and timelines● Formulated insights and recommendations from data analyses to enhance the overall understanding of varying lines of businesses and to inform tactical / strategic business decisions● Organized massive volumes of data input into concise and persuasive reports / presentations that delivered data-driven and actionable insights for senior leadership
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Senior Data AnalystEpsilon Sep 2016 - Mar 2018Irving, Texas, Us● Evaluated the effectiveness of e- / direct- mail campaigns for a leading automobile manufacturer client across a variety of key performance indicators over time and against industry benchmarks● Diagnosed the key factors resulting in defections to the competition and performed customer migration analyses to identify the precise makes / models that current owners are defecting to● Recommended key strategies to acquire new customers / retain existing customers, complete with a selection of feasible options as well as expected costs and projected marketing outcomes● Collaborated with internal account, creative, and campaign execution teams as well as external vendors to propose campaign enhancements to fully optimize campaign touch points and cadences● Designed and selected appropriately-sized treatment / control groups to accurately measure campaign performances, incrementality, and lifts versus the status quo of not executing a campaign● Created compelling presentations for technical and non-technical audiences alike that clearly illustrated actionable insights and recommendations from analytical works● Presented concise findings / implications using appropriate visualizations not limited to charts, graphs, tables, and infographics to internal and external stakeholders ● Queried a Microsoft SQL Server database using SAS / SQL programming scripts, under general directions, in the execution of data analyses that contributed directly to final client deliverables● Prioritized and managed multiple concurrent projects, accounting for their accuracy and timely completion relative to project timelines, milestones, goals, and negotiated scopes of work● Mentored junior staff members / interns and trained them on internal data logistics including data transfers, data hierarchies / structures, business rules, as well as novel analytical techniques -
Mba Strategy ConsultantMicrosoft Nov 2015 - Mar 2016Redmond, Washington, Us● Identified moments of delight and anguish at each phase of the consumer decision / purchase journey beginning with discovery through to purchase, usage, and support for the Microsoft Office 365 Personal subscription services at brick-and-mortar stores and e-commerce channels● Developed an experimental design to collect qualitative data about customer experiences at each phase of the customer journey, controlling for factors such as channel types and the number of data collectors to reduce biases● Created an interview guide to ensure all data collectors posed similar questions at each phase of the customer journey. Guidelines for different levels of customer experiences and evaluation criteria for maturity scores were also created to establish a common yardstick to rate experiences● Audited brick-and-mortar stores and e-commerce channels under the guise of a mystery shopper, using the interview guide to consistently collect data at each phase of the customer journey● Calculated maturity scores for a set of capabilities identified from a proprietary user experience model for each phase of the customer journey and compared them against industry benchmarks● Evaluated omni-channel return capabilities for the Microsoft Office 365 Personal subscription services and rated them against pre-established guidelines for rating different levels of customer experiences● Coordinated weekly meetings with project sponsors complete with meeting agendas and key takeaways to communicate weekly progress / milestones and touch base on other administrative issues● Condensed qualitative findings and quantitative scores using suitable charts and tables in a PowerPoint slide deck deliverable that offered strategic recommendations for further improvements● Presented insights and findings from the slide deck deliverable to business leaders that sparked robust discussions about next steps to streamline customer experiences along the customer journey -
Strategy Analyst Intern, International Revenue ManagementAmerican Airlines Jun 2015 - Aug 2015Dallas-Fort Worth, Texas, Us● Conducted business reviews of major airline companies with sizable presences in trans-Atlantic markets between North America and Europe● Defined data requirements and gathered / validated management information by consulting with internal subject matter experts and project stakeholders● Monitored published pricing dynamics from varying points of sales on the key trans-Atlantic markets using the Sabre Global Distribution System (GDS)● Analyzed real-time competitive pricing and product offerings by online travel agencies for trans-Atlantic airline ticket bookings using the QL2 On Demand web service● Retrieved data for historical and prospective flight schedules from the Official Airline Guide (OAG) to assess airline seat capacities and network routes in the flown and forward markets● Studied information from the Diio Mi online intelligence tool to understand airline fleet composition, fleet growth, ownership structure, and individual airlines’ fleet order book● Queried the Marketing Information Data Transfer (MIDT) database using Teradata SQL for the top Origin & Destination (O&D) pairs for trans-Atlantic airline ticket bookings in the indirect channel● Designed and tested models against internal and external benchmarks where industry data is lacking to estimate passenger revenue per ASM and % load factor of major trans-Atlantic airlines● Presented findings and insights using appropriate charts and tables to business leaders / management that framed the business issues and identified possible solutions / opportunities● Recommended plans / strategies based on the assembled information about low-cost carriers (LCC’s) that afforded the maximum likelihood of profitability by way of revenue optimization -
Mba Strategy ConsultantT-Mobile Jan 2015 - Mar 2015Bellevue, Wa, Us● Assessed for complementarity between T-Mobile's flagship prepaid wireless service and an ancillary service that has yet to fully gain traction about one year into its launch● Conducted field research including in-depth interviews with current prepaid wireless subscribers and mystery-shopper interviews with retail store associates to determine the factors driving slow adoption of such an ancillary service● Reviewed research / analyst reports about the ancillary service's industry to evaluate the competitive landscape and determine if traditional prepaid wireless competitors also have brand extensions into the ancillary service's industry● Organized regular status-update meetings with the client to nurture a working relationship and share initial findings / ideas throughout the entire duration of this consulting engagement● Diagnosed for misalignments between this recently-launched ancillary service and the company's internal business functions, with the goal of identifying areas worthy of further investigations● Segmented existing prepaid wireless customers by tenure based on customer churn data and advocated for different strategies to separately target and message to these disparate groups● Proposed a differentiated approach in positioning the value proposition of this ancillary service to non-users of the T-Mobile brand that better aligns with their needs and desires● Compiled final insights and recommendations into an interactive PowerPoint slide deck and a concise executive summary to facilitate further dissemination within the organization● Presented the final deliverables in-person at T-Mobile's Bellevue office and addressed questions in regards to underlying theories and assumptions as well as thoughts for further research -
Senior Analyst, Customer AnalyticsSears Canada Nov 2012 - Jun 2014Toronto, On, Ca● Consulted with internal merchandising teams to advise business leaders on the appropriate use of proprietary information to make key business decisions and shape long-term marketing strategies● Manipulated and summarized massive volumes of POS transaction data to the appropriate levels with NZSQL scripts using Netezza Aginity and/or SAS/ACCESS software interfaces● Presented timely and actionable insights about changes in shopper behaviours, attitudes, beliefs, and preferences to category business partners that are uncovered from routine time-series data analyses● Formulated recommendations based on data-driven insights to provide thought leadership to business leaders on the future plans for customer acquisition, reactivation, and retention tactics● Evaluated the performance of mass and direct marketing campaigns with multiple test / control groups and followed through with the measurement of participation and lift metrics● Segmented individuals according to behavioural, attitudinal, and life-stage dimensions to better target customers with relevant marketing communications in numerous variable-mailing offers● Collated the data requirements for an extensive customer scorecard and automated its monthly production using the UNIX cron job scheduler facility that delivers to senior business executives a monthly snapshot of the key performance indicators for various customer groups● Integrated disparate sources of transaction, customer, and credit card data silos to attain a comprehensive 360° view that can readily be manipulated into a format conducive for further analytical analyses● Constructed propensity and response models to predict the likelihood of a given customer’s behaviours using advanced data mining methodologies including logistic regression and decision tree modelling techniques -
Customer Insight AnalystShoppers Drug Mart Sep 2011 - Oct 2012Toronto, Ontario, Ca● Developed and validated customer loyalty and price sensitivity segmentation models based on RFM techniques and various statistical methodologies, leveraging Base SAS in the UNIX environment● Conceived the Stimulus-Response Model using the CHAID decision tree modelling technique to better target customer segments to receive relevant marketing offers based on behavioural and demographical variables● Designed A/B testing experimental designs with random control samples drawn for each personalized stealth offer in a series of test-and-learn experiments to determine the offer types that best resonate with customers● Analyzed post-campaign key performance indicators (i.e. sales / margin lift, etc.) of direct mail / email marketing test events to learn about offer effectiveness and to determine future plans for broader rollout● Created a Customer Retention Model based on the Survival Analysis methodology where historical data was used for model training and validation to forecast customer acquisition and churn through to the end of 2012● Extracted, transformed, and loaded (ETL) item-, basket-, and customer- level data from the Netezza POS data warehouse with NZSQL scripts to conduct strategic category performance reviews by geographic regions● Streamlined pricing strategies for various categories through Market Basket (Affinity) Analysis to ensure baskets with loss-leading categories are profitable by pricing other items in the basket at a higher margin rate● Collaborated with the Category Management department in constructing Consumer Decision Trees using the Hierarchical Clustering technique to determine the hierarchy of product attribute importance critical for assortment management● Compiled and aggregated research findings to uncover meaningful implications and actionable insights that are presented to the executional teams● Trained and tutored a team of analysts in SAS programming, validating their project output to ensure accuracy -
Research Analyst, Advanced AnalyticsThe Npd Group Jan 2011 - Aug 2011Port Washington, Ny, Us● Supervised and administrated massive, large-scale market research projects with strict time lines through all stages of the undertaking, working closely with internal and external stakeholders● Consulted with potential clients in the U.S. and Canada from the Food and Beverage industry to better understand business issues and challenges in order to formulate and propose viable research concepts to address current concerns● Coordinated regular meetings with Client Development teams to conduct training sessions and develop sales/marketing materials showcasing analytical capabilities and relevant insights for prospective clients● Executed proven quantitative market research techniques (i.e. correlation, regression, ANOVA, CHAID, perceptual brand maps, factor analysis, clustering analysis, cohort analysis, forecasting, etc.) efficiently, utilizing a variety of statistical software packages including SAS, SPSS, and Stata● Reviewed external industry publications and academic literatures to develop appropriate statistical methodologies for conducting further researches● Collaborated with the Custom Research department to design customized survey questionnaires and collect specific data inputs to enable special analyses (i.e. price sensitivity, TURF analysis, etc.)● Extracted, processed, manipulated, and synthesized large volumes of NPD/NET® syndicated consumer tracking data into useful information and actionable insights, utilizing SAS, MS Excel, and other relational database management systems● Evaluated and validated research findings to ensure accuracy and consistency with known facts and industry knowledge● Compiled and assembled charts, graphs, and tables based on established standards to summarize results, interpretations, and implications into a concise final research report deliverable● Presented and articulated research methodologies and analysis results effectively both verbally and in writing to technical and non-technical audiences -
Account Associate, Client DevelopmentThe Npd Group Aug 2008 - Dec 2010Port Washington, Ny, Us● Developed and maintained strong and ongoing relationships with all levels of management at major Fortune 500 clients from the Foodservice industry, including McDonald's and Unilever● Co-managed client relationships to service their accounts and generate repeat businesses through formal meetings, regular phone dialogues, state-of-the-industry presentations, as well as other value-added deliverables● Provided research support to clients by drafting initial analysis for narrative development, writing proposals in response to specific client questions, and responding promptly to client data requests by leveraging existing databases, appropriate analyses, external secondary researches, and industry knowledge● Retrieved aggregated data from a proprietary database (NPD PowerView) to provide analyses and insights to manufacturer and/or operator clients within the Foodservice industry● Interpreted NPD/CREST® syndicated consumer tracking data accurately and presented issues and findings to both internal and external audiences in written and verbal formats● Trained external key users of NPD data assets in operating proprietary data delivery tools, and internal summer interns in preparing standardized client deliverables● Developed customer satisfaction models with NPD/CREST® data using correlation and regression analyses, packaging the findings into an insightful deliverable that resulted in a sale within two months of product launch● Consulted with Custom Research division to develop advanced analytical capabilities and tools such as a MS Excel-based price sensitivity calculator, which can determine price points that optimize trial and revenue● Partnered with Product and Research Sciences teams to collect third-party input from the financial reports of public-traded companies for internal data calibration
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Research Assistant, Quantitative TechniquesRotman School Of Management, University Of Toronto May 2008 - Jul 2008Toronto, Ontario, Ca● Performed data cleaning and manipulation of raw Nielsen consumer panel data from the CPG industry● Analyzed clean data using MS Excel and Stata to further understand summary statistics ● Reviewed academic literatures to determine appropriate statistical methodologies● Tested various quantitative models to determine significances and fit with existing data● Supervised, scheduled, and conducted training for associates in data collection and formatting methods
Jenson Lee Skills
Market Research
Segmentation
Customer Insight
Quantitative Research
Marketing Research
Sas
Marketing Strategy
Crm
Forecasting
Sas Programming
Customer Analysis
Consumer Behaviour
Microsoft Excel
Data Mining
Data Analysis
Business Insights
Customer Analytics
Customer Loyalty
Predictive Analytics
Public Speaking
Consumer Insight
Primary Research
Powerpoint
Customer Relationship Management
Customer Satisfaction
Consumer Behavior
Regression
Logistic Regression
Spss
Consultancy
Survey Research
Secondary Research
Quantitative Modeling
Econometric Modeling
Statistical Modeling
Statistical Programming
Database Marketing
Target Marketing
Data Presentation
Client Presentation
Factor Analysis
Clustering
Conjoint Analysis
Decision Trees
Chaid
Basics Of Unix
Stata
Sas/sql
Sql
Etl
Jenson Lee Education Details
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Uw Foster School Of BusinessMarketing & International Business -
University Of Toronto - Rotman School Of ManagementEconomics (Commerce & Finance)
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Sas Institute Inc.Data Manipulation
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Canadian Securities InstituteCanadian Securities Course
Frequently Asked Questions about Jenson Lee
What company does Jenson Lee work for?
Jenson Lee works for Popeyes Louisiana Kitchen
What is Jenson Lee's role at the current company?
Jenson Lee's current role is Director of Marketing Analytics • MBA.
What is Jenson Lee's email address?
Jenson Lee's email address is je****@****onto.ca
What is Jenson Lee's direct phone number?
Jenson Lee's direct phone number is +146926*****
What schools did Jenson Lee attend?
Jenson Lee attended Uw Foster School Of Business, University Of Toronto - Rotman School Of Management, Sas Institute Inc., Canadian Securities Institute.
What skills is Jenson Lee known for?
Jenson Lee has skills like Market Research, Segmentation, Customer Insight, Quantitative Research, Marketing Research, Sas, Marketing Strategy, Crm, Forecasting, Sas Programming, Customer Analysis, Consumer Behaviour.
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