Senior Data Analyst - (SQL/Python/ADF/Databricks/insurance)
Posted 4 days ago by GIOS Technology
Negotiable
Undetermined
Hybrid
London Area, United Kingdom
Summary: The Senior Data Analyst role focuses on analyzing complex insurance datasets using SQL, Python, and Azure Data Factory. The position involves data profiling, quality analysis, and collaboration with Data Designers to translate business requirements into technical mappings. The analyst will also support the development of data quality dashboards and participate in agile ceremonies. This hybrid role is based in London, UK, requiring in-office attendance 2-3 times a week.
Key Responsibilities:
- Perform data profiling, mapping, and data quality analysis on complex insurance datasets.
- Analyze source-to-target data flows and translate business requirements into technical data mappings.
- Execute data quality checks and validations to ensure accuracy, completeness, and consistency of data.
- Document data lineage, transformation logic, and data quality rules in a structured manner.
- Support the development of data quality dashboards and reconciliation reports.
- Participate in sprint planning, agile ceremonies, and timely delivery of data artefacts.
Key Skills:
- SQL
- Python
- Azure Data Factory
- Databricks
- Data Profiling
- Data Quality
- Insurance Data
- Agile
- Data Mapping
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: Senior
Industry: Other
I am hiring for Senior Data Analyst - (SQL/Python/ADF/Databricks/insurance) Location: London, UK Hybrid - 2-3 weekly Job Description: Perform data profiling, mapping, and data quality analysis on complex insurance datasets across policy, claims, quotes, and pricing systems. Analyze source-to-target data flows and translate business requirements into technical data mappings in collaboration with Data Designers. Execute data quality checks and validations to ensure accuracy, completeness, and consistency of data. Document data lineage, transformation logic, and data quality rules in a structured and auditable manner. Support the development of data quality dashboards and reconciliation reports. Participate in sprint planning, agile ceremonies, and timely delivery of data artefacts.
Key Skills: SQL, Python, Azure Data Factory, Databricks, Data Profiling, Data Quality, Insurance Data, Agile, Data Mapping