Product Data Analyst

Job Description

About the Role: 

• Analyse user and product behaviour to identify trends and opportunities. 
• Perform hands on SQL, data validation, and largescale dataset profiling; contribute to notebooks using Python or PySpark where relevant. 
• Use GitHub for version control, code review, collaboration, and documentation of analytics assets (SQL, notebooks, tests, and metadata). 
• Define, maintain, and improve product performance metrics and reporting frameworks. 
• Ensure data accuracy, completeness, and reliability across pipelines, dashboards, and downstream outputs. 
• Interpret product schematics, data flows, and technical artefacts to support feature development and optimisation. 
• Conduct end to end root cause analysis across data pipelines
• Support billing activities and regulatory reporting through rigorous data checks, reconciliation, and auditable quality controls. 
• Partner closely with engineers and product teams to deliver changes safely through versioned releases, monitoring, and controlled rollout/rollback procedures. 

About You: 

• Bachelor’s degree in a data, analytics, computer science, statistics or technology related discipline.
• Hands‑on experience with SQL, data validation, and large‑scale dataset profiling, with working knowledge of Python or PySpark notebooks. 
• Demonstrated experience building reliable dashboards and product KPI frameworks, with clear communication of insights and trends. 
• Comfortable working in GitHub for version control, peer review, collaboration, and documenting analytics assets
• Certification in analytics engineering, data analysis, or related data disciplines (e.g., dbt, Databricks, SQL, BI tools). 
• Agile delivery certifications such as Scrum, Kanban, or similar frameworks. 
• Additional training in data governance, data quality, or regulatory data management highly regarded. 

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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