You'll be joining a lean data team spanning BI, Data Science, and Data Engineering — reporting directly to the Head of Data.
You'll work alongside:
- A Senior Data Engineer who builds our ingestion platform
- A BI Engineer who delivers trusted analytical datasets
- Business stakeholders across Marketing, Finance, Operations, Product and Management
This is a business-facing role where curiosity, analytical thinking and communication are just as important as SQL skills.
We're migrating to a Medallion architecture (Bronze → Silver → Gold) across AWS and GCP:
Our core stack: Dagster (orchestration) · dbt (transformation) · Athena + S3 (AWS query layer) · BigQuery (GCP warehouse) · Redash (BI serving)
What You'll Be Doing
- Deliver business insights — Analyse data to identify trends, opportunities and performance drivers across the business.
- Build dashboards and reports — Develop and maintain dashboards, recurring reports and KPI tracking using trusted Gold-layer datasets.
- Partner with stakeholders — Gather reporting requirements from Finance, Marketing, Product and Operations, translating business questions into analytical solutions.
- Perform ad-hoc analysis — Investigate business questions, validate assumptions and communicate findings with clear recommendations.
- Ensure reporting accuracy — Validate reports, investigate discrepancies and work closely with BI Engineering to resolve data issues.
- Document business metrics — Help define KPI definitions, reporting logic and business documentation.
- Promote self-service analytics — Improve reporting usability and empower business users with accessible, reliable insights.
- Communicate effectively — Present findings to both technical and non-technical stakeholders, turning data into actionable business recommendations.
What We're Looking For
Must-Have
- 3+ years of experience in Business Intelligence, Reporting, Analytics or a related role
- Strong SQL skills with experience querying large datasets
- Experience building dashboards using Redash, Tableau, Power BI, Looker or similar BI platforms
- Strong analytical and problem-solving skills
- Excellent communication and stakeholder management abilities
- Experience translating business requirements into reporting solutions
- High attention to detail and a strong focus on data accuracy
Nice-to-Have
- Experience with BigQuery, Athena or cloud data warehouses
- Basic Python for analysis or automation
- Knowledge of data modelling concepts
- Familiarity with dbt and modern analytics workflows
- Experience in loyalty, retail, fintech or high-volume transaction environments
- Understanding of experimentation, customer analytics or campaign analysis
Qualifications
- Bachelor's degree in Business Analytics, Information Systems, Computer Science, Statistics, Mathematics or a related field (or equivalent practical experience)
- 3+ years of relevant BI or analytics experience
