We are seeking an experienced Data Analyst with 6+ years of hands-on experience in data analysis, reporting, and digital analytics. The ideal candidate will be highly skilled in Python, SQL, and Power BI, with strong expertise in Web/Adobe Analytics to support data-driven decision-making across marketing, product, and business functions.
Responsibilities
- Collect, clean, and transform large datasets from multiple sources using Python and SQL.
- Build interactive dashboards and analytical models in Power BI to support business reporting and KPI tracking.
- Lead digital analytics initiatives using Adobe Analytics/Google Analytics/other web analytics tools to measure user behaviour, traffic performance, and campaign effectiveness.
- Develop automated data pipelines, scripts, and workflows to streamline reporting processes.
- Perform deep-dive analyses to uncover trends, insights, and optimisation opportunities for marketing, product, and growth teams.
- Conduct A/B testing and funnel analysis to evaluate user experience and conversion performance.
- Collaborate with cross-functional teams to define metrics, align data requirements, and deliver meaningful insights.
- Ensure data accuracy, quality, and governance across analytics deliverables.
- Present analytical findings to stakeholders through clear visualizations and storytelling.
Requirements
- 6+ years of experience as a Data Analyst, Business Analyst, or similar role.
- Strong proficiency in Python (Pandas, NumPy, data automation, APIs).
- Advanced SQL skills with experience in relational databases
- Expertise in Power BI (DAX, data modelling, dashboard development).
- Solid experience with Web Analytics tools, preferably Adobe Analytics; Google Analytics exposure is a plus.
- Experience with digital marketing data, e-commerce metrics, or product analytics is preferred.
- Strong problem-solving skills and the ability to turn complex data into actionable insights.
- Excellent communication skills and experience collaborating with technical and non-technical teams.
