About the Team

The Retail Media team is building a platform for connecting ecommerce retailers and brands. In a nutshell, retail media is the product that allows a brand to buy a placement within our customer’s search, browse, recommendations, collections, or quizzes results. A comprehensive retail media platform integrates seamlessly with online retailers, offering advanced targeting, bidding, and analytics capabilities. This platform aims to enhance ad visibility, optimize ad placement, and provide robust performance analytics. We're a passionate team of cross-functional engineers who love challenges and want to make people’s lives better. We value openness, curiosity, continuous improvement, and great code. We believe that empowering everyone in a company to do what they think is best can lead to great things.

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.

Requirements

• 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.

• 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.

• 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

Diversity, Equity, and Inclusion at Constructor

At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.

Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.