Data analyst in e-commerce

Profitero+ is the leading digital commerce company, trusted by more than 4,000 brands worldwide. We help brands break down silos and turn data into decisive action through intelligence-driven, end-to-end solutions that unify media, content, operations and strategy. As a Data Analyst, you will play a key role in transforming complex e-commerce data into reliable, intuitive analytical solutions that help our customers make better decisions.

• Build, maintain and enhance dashboards in Sigma, ensuring they are accurate, intuitive and aligned with client and business requirements.
• Design and maintain ETL processes for a range of client data, optimising back-end data structures to ensure dashboards are reliable and performant. This will primarily involve Snowflake SQL, alongside a working knowledge of Python and experience with dbt workflows.
• Use Git and GitHub to manage version control across analytics code and data transformation projects, following collaborative development practices such as branching, pull requests, code reviews and clear documentation.
• Adhere to team processes and delivery standards, including using Jira to manage work and record time accurately.
• Partner directly with clients and internal stakeholders to gather and clarify technical requirements, translate business questions into analytical solutions, and recommend the most effective approach.
• Mentor junior team members, providing technical guidance, constructive feedback and support with problem-solving.
• Develop deep expertise in Profitero+’s industry, technology, products and data offerings, with a strong understanding of how related technologies address customers’ business challenges.
• Research and help develop new product and analytical offerings in response to client needs, market developments and emerging technologies, including AI- and machine-learning-based solutions.

• 3+ years’ experience in an analytics role.
• Advanced SQL skills, with experience working in a modern cloud data warehouse such as Snowflake or GBQ and using a data transformation and modelling tool such as dbt.
• The ability to review code written by others and identify logic or data-quality issues before they reach production dashboards, and have sufficient SQL and Python expertise to read, debug and extend existing scripts.
• Hands-on experience building dashboards and analytical solutions in BI platforms such as Sigma, Looker, Power BI or similar.
• Practical, day-to-day experience using AI-assisted coding and analysis tools, such as Claude Code, Cortex or Coco. Write clear specifications for AI agents and critically review their outputs for accuracy, quality and suitability before release.
• A proven ability to translate client requirements into clear product scopes and communicate complex technical concepts confidently to non-technical audiences.
• Будет плюсом: Experience applying advanced analytics or data science techniques, such as predictive modelling, regression analysis or natural language processing; Experience using work-management or product-development software, with Jira preferred; Experience in direct-to-consumer analytics; Experience working with Git and GitHub

• An inclusive workplace that promotes diversity and collaboration; access to ongoing learning and development opportunities; competitive compensation and benefits package; flexibility to support work-life balance; comprehensive health benefits for you and your family; generous paid leave and holidays; wellness program and employee assistance.