Senior Data Analyst

5 days ago

San Bruno, California, United States Walmart Full time
Job Overview

We are seeking a highly skilled Senior Data Analyst to join our team as an Ad Measurement Specialist. In this role, you will be responsible for developing and enhancing ads measurement methodology across various sales lift, synthetic control group, ghost ads, MMM, MTA, A/B testing, Geo-experimentation, and randomized Control Tests.

About the Role

This position involves processing complicated and large-scale datasets using distributed computing platforms, extracting insights from data, predicting future trends, and optimizing business metrics. You will develop measurement methodology, manage ambiguous problems, generate hypotheses, and provide recommendations to Engineering, Product, and Data science teams.

As an Ad Measurement Specialist, you will use statistical methods to evaluate the performance of machine learning and statistical models in marketing measurement products. Additionally, you will define vision and strategies for Walmart ads measurement methodologies including Sales Lift, Search Incrementality, WAMM, and MTA.

Key Responsibilities
  • Develop and enhance ads measurement methodology across sales lift, synthetic control group, ghost ads, MMM, MTA, A/B testing, Geo-experimentation, and randomized Control Tests
  • Process complicated and large-scale datasets using distributed computing platforms
  • Extract insights from data, predict future trends, and optimize business metrics
  • Develop measurement methodology, manage ambiguous problems, generate hypotheses, and provide recommendations to Engineering, Product, and Data science teams
Requirements
  • Masters degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field
  • 2 years of experience in an analytics related field OR Bachelor's degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years of experience in an analytics related field
  • Experience coding in SQL, R, and Python to create statistical models
  • Experience building econometrics models for statistical analysis to measure the effectiveness of ad campaigns
  • Experience building machine learning models to evaluate campaign effectiveness and calculate return on investment
  • Experience with data science and causal inference techniques in marketing including Conversion Lift, Brand Lift, and Clean Room studies
  • Experience with Business Intelligence tools including Tableau, PowerBI, Google Analytics, and Looker
  • Experience with Marketing Technology, Web Analytics, Campaign Analytics (Adobe Analytics, Google Analytics, and Facebook Business manager) for tracking ad campaign performance and analyzing e-commerce performance
  • Experience with Marketing Revenue attribution methods (Mixed Media Model and Multi-Touch Attribution) for evaluating Ad campaign performance and providing recommendations on optimizations
  • Experience with Testing methodology (A/B testing, Ghosts Ads, Intent to treat, Synthetic Control, and Geo-Experiments) to run market experiments and recommend marketing strategy to advertisers
  • Experience with Time series modeling (Linear regression, Logistics regression, and random forest) to create revenue forecasts
  • Experience with Agile methodology and JIRA for project management and software development
  • Experience with Meta/Facebook Ads Measurement tools including Conversion Lift, Brand lift, Private Lift, Advance Analytics, Advanced Measurements API, Conversion API, ROBYN (MMM), GEO-Lift, and Prophet Models
  • Experience with Azure Cloud Platform, Databricks, Azure Data Factory, Snowflake, Presto, and Google Cloud Platform to analyze large datasets and run ML models in cloud environments
Salary Range

$168,110/year to $286,000/year, plus additional compensation including annual or quarterly performance incentives and Regional Pay Zone (RPZ)

Benefits

We offer competitive pay, performance-based incentive awards, and other great benefits for a happier mind, body, and wallet. Benefits include medical, vision, and dental coverage, 401(k), stock purchase, company-paid life insurance, PTO, parental leave, family care leave, bereavement, jury duty, and voting time off, short-term and long-term disability, education assistance, company discounts, military service pay, adoption expense reimbursement, and more.

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