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Data Analytics Specialist - Commercial Insurance; Hybrid
Job in
Essex, Essex County, England, UK
Listed on 2026-01-31
Listing for:
Albion Blake
Full Time
position Listed on 2026-01-31
Job specializations:
-
IT/Tech
Data Analyst, Data Engineer
Job Description & How to Apply Below
Title: Data Analytics Specialist - SQL & Microsoft BI
Model: Hybrid (2 days on-site)
Salary: Up to £80,000 DOE
Start: Immediate
The Role:
We’re recruiting a Data Analytics Specialist for an established Insurance software organisation with a strong focus on data-driven decision making. You’ll join a collaborative data function and play a key role in shaping analytics and reporting solutions used by both internal teams and external clients.
This position suits someone who enjoys working hands-on with data, has strong SQL capability, and can turn complex requirements into clear, actionable insights.
Key Responsibilities:
- Producing analytics and reporting solutions using SQL Server and Microsoft BI technologies
- Working closely with stakeholders to understand business needs and convert them into analytical outputs
- Creating and optimising SQL datasets, stored procedures and reporting layers
- Developing and supporting data pipelines and ETL processes
- Delivering dashboards and reports that support operational and strategic decision-making
- Communicating insights and solution designs to technical and non-technical audiences
- Supporting live analytics solutions and assisting with troubleshooting when required
Key Experience:
- Minimum 3 years’ experience in a data analytics, BI or SQL-centric role
- Strong SQL Server / T-SQL expertise
- Hands-on experience with Microsoft BI tools (e.g. Power BI)
- Solid understanding of analytics, reporting and data warehousing principles
- Experience working with ETL and data integration
- Confident engaging with stakeholders and gathering requirements
- Exposure to Azure Dev Ops and Git is beneficial
- Experience in financial services or insurance is advantageous but not essential
Personal Attributes:
- Analytical, methodical and detail-focused
- Comfortable working independently and taking accountability
- Clear communicator with the ability to explain data to varied audiences
- Well organised and able to balance multiple priorities
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