Senior Data Analyst

Summary

Join Wpromote as a Senior Data Analyst and contribute to data mining, cleansing, analysis, experimental design, and visualization initiatives. You will provide actionable insights for client marketing campaigns, maintain existing solutions, and gain experience in advanced analytics. This role offers opportunities to work with diverse clients and teams, utilizing R/Python, SQL, and BigQuery. The salary range is $80,000-$105,000, and the position may be remote (with preference for Pacific Time Zone candidates). The company emphasizes a diverse and inclusive work environment.

Requirements

• Have 2+ years of hands-on data analysis experience within an agency or in-house environment
• Possess advanced programming skills (R or Python) for data cleaning, data modeling, building pipelines, statistical analysis, conducting API calls, etc
• Have advanced experience in SQL (i.e.: window functions, stored procedures, and views, triggers, unions, CTEs, subqueries, debugging)
• Possess excellent analytical and problem-solving skills with strong attention to detail
• Demonstrate critical thinking: the ability to look at numbers, trends, and data and come to new conclusions based on the findings
• Possess excellent foundational math/statistical skills with the ability to juggle facts, figures, and number crunching
• Have strong communication skills, with experience in creating and delivering presentations and executive summaries
• Have intermediate to advanced competency in statistics, probability, and linear algebra
• Possess advanced Excel and/or Google Sheets skills
• Have experience/familiarity with version control (i.e.: Git, Bitbucket, etc.)
• Have an interest or passion for marketing analytics
• Have a Bachelor’s degree in a quantitative field (Stats, Mathematics, CS, Information Technology, Economics, Engineering, etc.)

Responsibilities

• Use R and/or Python for data cleaning, experimentation (design and evaluation), statistical modeling, process improvement, and automation
• Interpret, present, and communicate results by creating presentations and/or dashboards that communicate a succinct and compelling business story, driving decisions through research results
• Learn to transform, improve, and integrate data, depending on the business requirements
• Plan and scope end-to-end data analysis projects by identifying the business problem and selecting appropriate investigative testing and solutions
• Work in platform-specific clean rooms to understand ad campaigns, audience breakdowns, and other marketing insights
• Conduct marketing-focused experiments utilizing different methodologies such as geo-experiments, in-platform testing, matched markets
• Work across various departments to understand client needs
• Use SQL and BigQuery to generate data sets for analysis

Preferred Qualifications

• Have experience with statistical modeling and/or machine learning
• Have knowledge of full-funnel marketing
• Have knowledge of search-specific advertising (Google Ads, SA360, etc.)
• Have experience with ad platform clean rooms (FBAA, AMC, ADH)
• Have familiarity with media-mix modeling and incrementality testing
• Have an understanding of causal inference and Bayesian statistics
• Have experience with cloud computing (AWS, GCP, Azure, etc.)

Benefits

Benefits (listed above)