Analytics Engineer
2 days ago
Key Responsibilities
- Design, build, and maintain BI dashboards and reports (Tableau experience is a huge plus)
- Translate business requirements into metrics, KPIs, and visualisations
- Prepare analytical datasets in collaboration with Data Engineering team
- Ensure accuracy and reliability of dashboards through data validation and reconciliation
- Optimise dashboards for performance, usability, and stakeholder adoption
- Document dashboard logic, refresh cycles, and business definitions
- Assist with defining and standardising BI best practices within DataQ
- Participate in requirement workshops, sprint sessions, and solution reviews
Qualifications
Required:
- Strong proficiency in SQL (any modern relational database or cloud warehouse)
- Hands-on experience with at least one BI tool (Tableau preferred; Power BI, Looker acceptable)
- Understanding of data modelling and analytic design principles
- Strong analytical thinking and clear communication skills
- Ability to convert business questions into structured analytical outputs
- Junior and senior roles are both available
Nice to Have:
- Tableau Desktop & Server experience (publishing, extracts, permissions)
- Exposure to cloud platforms (GCP, AWS, or Azure)
- Python basics for data preparation (Pandas/Polars)
- Experience with data catalogues or metadata tools
- Understanding of data governance practices
Why Join Us?
- Work on a wide range of real-world data projects, from traditional BI to modern data application
- Shape cutting-edge LLM and AI initiatives by bridging data engineering and model development
- Work in a collaborative and supportive environment that values learning, professional growth, and strong interpersonal connections
- Benefit from a hybrid work arrangement, offering flexibility to balance your professional and personal life
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