Data Analyst in Cambridge

Genie Shopping is a UK-based, high-growth performance marketing business operating through the affiliate channel and CSS ecosystem. As a certified Google CSS Premium Partner, we work with retail giants and serve a large volume of ad impressions across our network. We differentiate ourselves through our managed CSS CPA model and our technical scale. Our core revenue comes from our CPA model, which aligns success with our clients. We are a driver of the industry, supporting education, sponsorship, and active event contribution. This approach has contributed to significant growth in 2024 and continued momentum in 2025. We are a certified Great Place to Work with a remote-first setup.

As a Data Analyst at Genie Shopping, you will play a crucial role in our growth within the performance marketing landscape. You will analyse affiliate marketing data to track key commercial and performance metrics, verify data accuracy, and ensure this is reflected in our systems. Your responsibilities include structuring reports, extracting data, and communicating insights to optimise our strategies. You will support strategic initiatives across teams, enable data-driven decision-making, and empower teams with self-serve data. You will have the ability to create and maintain data sources, views and workbooks within Tableau, building on the existing infrastructure to visualise data for the team.

Key requirements for this role include:

• Strong data analysis skills and the ability to derive insights from large datasets.
• Ability to communicate findings effectively and collaborate with cross-functional teams.
• Detail-oriented, proactive mindset.

What You'll Do:

• Data Quality Assurance: Conduct regular audits of our affiliate network transactional data to identify and resolve discrepancies, ensuring data integrity and reliability for reporting and analysis.
• Retailer Performance Analysis: Analyse and identify factors influencing retailer performance, collaborate with cross-functional teams to facilitate data-informed decision-making, and develop self-service data solutions.
• Project Support: Conduct ad-hoc data analyses and generate reports to address specific business projects or new initiatives.
• Business Reporting: Improve and innovate the way we report key performance across regular reporting periods (daily, weekly and monthly) and provide this in Slack.
• Documentation: Maintain clear and concise documentation of data processes, reports, and methodologies to facilitate knowledge sharing and consistency.
• Automation: Identify opportunities to automate data processes and reporting to improve efficiency and reduce manual effort.
• Collaboration on Data Infrastructure: Work with the development team to improve data collection, storage, and management processes, suggesting enhancements to the data infrastructure to support better business reporting and insights.

Skills & Experience:

• Experience (Required): Proven experience in data analysis, including data extraction, cleaning, standardisation, and preparation from diverse sources using tools like Excel or BI platforms. Solid understanding of data modelling and relational database concepts.
• Experience (Desirable): Proficiency in SQL for data querying and database table manipulation. Hands-on experience with developing and maintaining production-ready dashboards using visualization tools. Experience with affiliate tracking platforms and performance marketing data. Awareness of AI and machine learning techniques for data analysis and insight generation.
• Skills (Required): Proven ability to design, develop, and maintain complex Tableau dashboards and reports, leveraging advanced features to derive actionable insights. Excellent analytical and numerical skills. Demonstrated ability to extract actionable insights, identify patterns, and evaluate business opportunities and risks from complex datasets. Exceptional written and verbal communication abilities, with the capacity to clearly explain technical data findings to diverse, non-technical stakeholders.
• Skills (Desirable): Knowledge of affiliate marketing strategies and performance optimization. Previous work experience in e-commerce analytics environments. Understanding of Fivetran's capabilities and its role in streamlining data pipelines.

What We Offer:

• Remote Working Allowance - We pay all Genies £126 per month WFH allowance.
• Flexible Working - We provide flexibility in working options and work in a distributed team model.
• 25 Days Annual Leave + Bank Holidays.
• Enhanced Absence and Family Leave Policies.
• Workplace Pension - Your 4% employee contribution is matched by Genie via salary exchange.
• Employee Referral Scheme - A bonus payment if we hire someone you recommend.
• Electric Car Scheme - Allows you to lease an electric car through salary exchange, giving savings on Tax and NI.
• Cycle to Work Scheme - The Cycle2Work Scheme allows you to buy a new bike for commuting to work, spreading the cost over 12 months via salary exchange.
• Genie Academy - Our in-house training helps develop talented people into world-class digital marketers. Courses cover all aspects of the business.
• Quarterly Social Events - We all get an afternoon off each quarter to attend a staff social. Events range from bowling and punting to cocktail making and quizzes.
• Access to Spill - Professional therapist sessions.
• Wellness Activities - Workshops and support sessions cover well-being, including stress and financial wellbeing.
• Wellbeing Perks - Paid eye tests, contribution towards glasses for DSE use and a yearly flu jab reimbursement.
• Genieversaries - Work anniversary awards for dedication and commitment.

Diversity, Equity & Inclusion: Genie Ventures is committed to creating a diverse, equitable and inclusive experience for our Genies and clients, fostering a safe and happy workplace where everyone can be their authentic selves and thrive. We encourage applications from traditionally underrepresented groups. If we can make recruitment easier through accommodation, please let us know.