You Will Be
- Learning to transform, improve, and integrate data according to business requirements
- Planning and scoping end-to-end data analysis projects by identifying the business problem and selecting appropriate investigative tests and solutions
- Using SQL and BigQuery to combine and prepare datasets from multiple sources
- Delivering data in a clear, useful, and visually appealing way to both technical and non-technical audiences
- Maintaining existing media-mix models through directed retrains and reporting on performance changes
- Organizing and collecting results from media-mix models, incrementality tests, clean rooms, and related analyses to support Wpromote’s culture of learning
- Conducting guided marketing analyses to support client and internal needs
- Supporting presentations through data pulls, ad-hoc analyses, and slide creation
- Learning to automate data gathering, blending, and transformation processes
- Collaborating across Engineering, Reporting, Product, Paid Media, and Data Science teams to understand and support client needs
You Must Have
- Intermediate programming skills in R or Python for data cleaning, data modeling, pipeline development, API calls, and related tasks
- Experience with statistical modeling, machine learning techniques, and LLMs
- Intermediate SQL skills, including window functions, stored procedures, views, triggers, unions, CTEs, subqueries, and debugging
- Advanced proficiency in Excel and/or Google Sheets
- Experience with at least one BI platform (Looker, Tableau, Power BI, etc.) with the ability to learn others; Looker preferred
- Experience or familiarity with version control tools such as Git or Bitbucket
- Strong organizational skills with the ability to balance competing client requests and work with complex datasets while maintaining accuracy and meeting deadlines
- Intermediate to advanced competency in statistics, probability, and linear algebra
- Strong communication skills, including experience creating and delivering presentations and executive summaries
- Demonstrated critical thinking skills—the ability to analyze numbers, trends, and data to form meaningful insights
- Interest or passion for marketing analytics and/or a personal project portfolio
- Associate’s degree, bootcamp certification, or practical work experience in a quantitative field (Statistics, Mathematics, Computer Science, Information Technology, Economics, Engineering, etc.)
Nice To Have
- Bachelor’s degree or higher in a quantitative field
- Exposure to marketing analyses such as media-mix models (MMM), incrementality testing, CAC, and lead scoring
- Experience with analytics software, such as Google Analytics and Adobe Analytics
- Familiarity with clean room environments (FBAA, AMC, Google ADH)
- Experience with cloud computing (AWS, GCP, Azure, etc.)
Skills Required
- Intermediate programming skills in R or Python for data cleaning, data modeling, pipeline development, and API calls
- Experience with statistical modeling, machine learning techniques, and LLMs
- Intermediate SQL skills, including window functions, stored procedures, views, triggers, unions, CTEs, subqueries, and debugging
- Advanced proficiency in Excel and/or Google Sheets
- Experience with at least one BI platform, such as Looker, Tableau, or Power BI
- Experience or familiarity with version control tools such as Git or Bitbucket
- Strong organizational skills and ability to balance competing requests, manage complex datasets, maintain accuracy, and meet deadlines
- Intermediate to advanced competency in statistics, probability, and linear algebra
- Strong communication skills, including presentation and executive summary experience
- Demonstrated critical thinking skills for analyzing numbers, trends, and data to form meaningful insights
- Interest or passion for marketing analytics and/or a personal project portfolio
- Associate's degree, bootcamp certification, or practical work experience in a quantitative field
- Bachelor's degree or higher in a quantitative field
- Exposure to marketing analyses such as media-mix models, incrementality testing, CAC, and lead scoring
- Experience with Google Analytics and/or Adobe Analytics
- Familiarity with clean room environments such as FBAA, AMC, or Google ADH
- Experience with cloud computing platforms such as AWS, GCP, or Azure
What We Do
Wpromote is an award-winning digital marketing agency with offices across the United States. Named the Leader in the Forrester Performance Marketing Wave, we help brands Think Like A Challenger to drive transformational growth. Challenger clients include leading brands such as Whirlpool, Zenni, Adobe, TransUnion, Frontier Airlines, and more. Our mission is to build and deploy holistic, agile marketing strategies that drive significant results for our clients. We partner with clients to capture market share by authentically connecting with the right customers across channels at every stage of the customer journey, increasing customer lifetime value, and outsmarting the competition instead of outspending them. Our teams think outside of the box and challenge the status quo because Wpromote actively builds a culture that prioritizes creativity, innovation, and passion in service of our clients’ goals.







