Data Analyst: Retail Media

Constructor
United Kingdom
Workplace: RemoteFull timeUSD 80,000 - 120,000 annuallyFunction: Data Analytics & Business IntelligenceSkills: ["Communication","Stakeholder management","Problem-solving","Translation","Collaboration"]

Help the Retail Media team make data-driven product decisions by researching hypotheses and optimizing key metrics like ROAS, ad spend, and churn. Partner with PMs and engineers to define the most important insights, build and maintain dashboards in BI tools, and translate business needs into technical work (and back). Own advertiser and retailer performance results, support late-stage sales with demos, and prototype fast using SQL and Python.

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FursaFursa
Constructor
Constructor
2 months ago

Data Analyst: Retail Media

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Help the Retail Media team make data-driven product decisions by researching hypotheses and optimizing key metrics like ROAS, ad spend, and churn. Partner with PMs and engineers to define the most important insights, build and maintain dashboards in BI tools, and translate business needs into technical work (and back). Own advertiser and retailer performance results, support late-stage sales with demos, and prototype fast using SQL and Python.
Location: United Kingdom
Workplace: Remote
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Research product hypotheses and analyze data to optimize core retail media platform metrics for advertisers and retailers.
  • •Work with PMs and engineers to define and scope key insights and improvements derived from data.
  • •Build dashboards and reporting tools using BI and analytics workflows to communicate business performance and support decision-making.
  • •Collaborate with business partners to develop and update platform functionalities and translate needs between business and technical teams.
  • •Own results for advertiser and retailer business metrics and support late-stage sales with demos.

Pay and Benefits

Salary: USD 80,000 - 120,000 annually
Equity and Bonus:Equity
Perks:Paid LeaveRemote WorkLearning BudgetMaternity LeavePaternity LeaveEquity

Key Requirements

  • •Research product hypotheses to optimize key platform metrics for retailers and advertisers (e.g., ROAS, ad spend, churn rate).
  • •Collaborate with PMs and engineers to scope the most important insights expected from data and improvements to the platform.
  • •Develop or update data-driven functionality with technical and non-technical business partners.
  • •Be proficient in BI tools for building dashboards and communicating insights to engineers and non-technical stakeholders.
  • •Have strong SQL skills and exploratory data analysis experience with Python (pandas, numpy, and visualization libraries), plus familiarity with big data tools (e.g., Spark, Presto/Athena, Hive).
Experience:E-commerceAdTech
Skills:CommunicationStakeholder managementProblem-solvingTranslationCollaboration
Tech Stack:SQLPythonPandasNumpyData visualizationSparkPrestoAthenaHiveSpark SQLDatabricksRedashMetabasePySparkNotebooksTransformersGenerative LLMs

Company Brief

Constructor
Provides an AI-powered site search and product discovery platform for e-commerce and retailers, improving search relevance, recommendations, personalization, and merchandising to boost conversions and average order value.
Industry: Enterprise Software
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: San Francisco, United States
WebsiteLinkedIn