This is a fully remote position, open to applicants in Europe.

• Conduct research on product hypotheses to enhance platform metrics for retailers and advertisers, focusing on ROAS, ad spend, and churn rate.

• Collaborate with Product Managers and Engineers to define critical insights and desired enhancements to the platform.

• Work alongside both technical and non-technical business partners to develop and refine functionalities.

• Engage with stakeholders both within the team and externally.

• Take ownership of results and business metrics for advertisers and retailers.

• Participate in advanced sales processes and create demonstrations for potential customers.

• Create business intelligence analyses and dashboards for engineers and non-technical stakeholders.

• Utilize large-scale data to foster product innovation and drive business value.

• Offer analytical support for e-commerce initiatives by identifying and concentrating on relevant features and metrics.

• Develop and sustain communication tools to report on business performance and support cross-functional decision-making.

• Proficiency in business intelligence tools for data analysis and dashboard creation.

• Outstanding communication skills, with the ability to translate business requirements into technical terms and vice versa.

• Capability to harness extensive data to promote product innovation and business value.

• Proficiency in SQL.

• Experience in exploratory data analysis using Python, including libraries such as pandas, NumPy, and data visualization tools.

• Familiarity with big data technologies like Spark, Presto/Athena, and Hive is advantageous.

• Skilled in rapid prototyping and providing analytical support for e-commerce projects.

• Willingness to develop and uphold communication tools for reporting business performance and facilitating cross-functional decisions.

• Experience in the AdTech industry is a plus.

• Ability to articulate viewpoints clearly and rationally while considering others' perspectives.

• Familiarity with Spark SQL, Python notebooks, Databricks, Redash/Metabase, and PySpark.

• Unlimited vacation time - we strongly encourage all employees to take at least 3 weeks off per year.

• Fully remote team - choose your preferred place of residence.

• Work from home stipend.

• Apple laptops provided for new hires.

• Annual training and development budget for every employee, refreshed each year.

• Maternity and Paternity leave for eligible employees.

• Collaborate with intelligent individuals who will support your growth and enable you to make a meaningful impact.

• Stock options - offered in addition to the base salary.

• Regular team off-sites to connect and collaborate.

Data Analyst – Retail Media

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