Data Analyst

Role Description

The Retail Media team is looking for a Senior Data Analyst who will help us make data-driven product decisions, optimize customer and advertiser metrics, and scale the product. We are a cross-functional team working across Backend, Frontend, and Data Engineering.

• 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.

Qualifications

• 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.
• You’re able to defend your point of view in a reasoned and clear manner and listen to other people's opinions.

Requirements

• Stack: Spark SQL, Python (notebooks), Databricks, Redash/Metabase, PySpark.

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