Job Description
What You’ll Do
- Data Management: Design and maintain relational databases or SQL data warehouses. Ingest, clean, and transform structured and unstructured data using SQL, Python, or R.
- Analytics: Perform statistical modelling, A/B testing, and cohort analysis to uncover trends and guide business decisions.
- Reporting & Visualisation: Build interactive dashboards in tools like Power BI, Tableau, or Looker. Automate reports and present insights in a compelling, visual format.
- Collaboration: Partner with cross-functional teams to track performance, optimise processes, and deliver actionable insights.
- Governance: Ensure data integrity through validation checks and maintain clear documentation of data sources and methodologies.
What You’ll Bring
- A degree in Data Science, Statistics, Computer Science, or a related field.
- Proficiency in SQL, Python and/or R, with experience in data warehousing and ETL pipelines.
- Hands-on experience with BI tools like Power BI, Tableau, or Looker.
- 2–4 years of relevant experience (or 1+ year with a demonstrable portfolio for early-career applicants).
- Strong analytical thinking, business acumen, and the ability to communicate insights to both technical and non-technical audiences.
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