Senior Data Analyst, Wpromote

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

Desirable

• This individual will contribute to data mining, data cleansing, data analysis, experimental design, and visualization initiatives. The primary function of this role will be to provide actionable insights to our client’s marketing initiatives
• This individual will also maintain existing solutions while gaining guided experience in advanced analytics to enable increased responsibility over time. This individual will also have the opportunity to work with exciting clients in the e-commerce, retail, and entertainment space while interacting with the Engineering, Reporting, Product, Paid Media, and Data Science teams
• Using R and/or Python for data cleaning, experimentation (design and evaluation), statistical modeling, process improvement, and automation
• Interpreting, presenting, and communicating results by creating presentations and/or dashboards that communicate a succinct and compelling business story, driving decisions through research results
• Learning to transform, improve, and integrate data, depending on the business requirements
• Planning and scoping end-to-end data analysis projects by identifying the business problem and selecting appropriate investigative testing and solutions
• Working in platform-specific clean rooms to understand ad campaigns, audience breakdowns, and other marketing insights
• Conducting marketing-focused experiments utilizing different methodologies such as geo-experiments, in-platform testing, matched markets
• Working across various departments to understand client needs
• Using SQL and BigQuery to generate data sets for analysis