About the Role
We're looking for a Senior Data Analyst to join our Retail Media team. As a key member of our cross-functional team, you will help us make data-driven product decisions, optimize customer and advertiser metrics, and scale the product.
Responsibilities
- Research product hypotheses to optimize main platform metrics for retailers and advertisers: ROAS, Ad spent, Churn Rate, etc.
- Work with PMs and Engineers to scope the most important insights we expect to extract from our data and improvements that we’d like to bring to the platform.
- Collaborate with technical and non-technical business partners to develop / update functionalities.
- Communicate with stakeholders within and outside the team.
- Own the results and business metrics for advertisers and retailers.
- Participate in late-stage sales process and building demos for prospect customers.
Requirements
- You are proficient in BI tools (data analysis, building dashboards for engineers and non-technical folks).
- You are an excellent communicator with the ability to translate business needs into a technical language and vice versa.
- You are excited to leverage massive amounts of data to drive product innovation & deliver business value.
- You are proficient at SQL (any variant), well-versed in exploratory data analysis with Python (pandas & numpy, data visualization libraries).
- Big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive).
- You are adept at fast prototyping and providing analytical support for initiatives in the e-commerce space by identifying & focusing on relevant features & metrics.
- You are willing to develop and maintain effective communication tools to report business performance and inform decision-making at a cross-functional level.
- Big plus is AdTech industry experience.
Benefits
- Unlimited vacation time – we strongly encourage all of our employees take at least 3 weeks per year
- Fully remote team – choose where you live
- Work from home stipend! We want you to have the resources you need to set up your home office
- Apple laptops provided for new employees
- Training and development budget for every employee, refreshed each year
- Maternity & Paternity leave for qualified employees
- Work with smart people who will help you grow and make a meaningful impact
- Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results
- Stock options – offered in addition to the base salary
- Regular team offsites to connect and collaborate
XML job scraping automation by YubHub
