Senior Data Analyst

Forsyth Barnes; Greater London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An innovative firm in the financial services sector is on the lookout for a Senior Data Analyst to drive its data strategy forward. This role is pivotal in delivering end-to-end data solutions, from building data lakes to developing insightful dashboards. The ideal candidate will possess deep knowledge of PowerBI and SQL, along with a solid understanding of the insurance industry. Collaborating with global teams, you'll ensure data quality and promote Agile practices, making a significant impact on client service efficiency. If you're passionate about data and eager to shape the future of analytics, this opportunity is for you.

Qualifications

• Hands-on experience in delivering end-to-end data solutions.
• Strong understanding of the insurance industry and data strategies.

Responsibilities

• Perform statistical analysis and data modeling to derive insights.
• Design and implement data pipelines and ETL processes.

Skills

Statistical Analysis

Data Modeling

Data Quality Governance

Communication Skills

Agile Practices

Tools

PowerBI

SQL

Power Automate

Paginated Reports

Microsoft Fabric

Job description

Our client, a fast-growing company in the financial services sector, is seeking a Senior Data Analyst to support its continued expansion. The ideal candidate will bring a strong understanding of the insurance industry, along with hands-on experience in delivering end-to-end data solutions—such as building data lakes, developing ETL processes, and deploying data visualization tools. Working closely with global teams and reporting to the Group Data Lead, the Senior Data Analyst will play a key role in shaping and executing the company’s data strategy, enabling more efficient and effective client service.

Job Responsibilities:

1. Perform statistical analysis and data modeling
2. Clean, analyze, and interpret data from multiple sources
3. Communicate insights to both technical and non-technical audiences
4. Ensure data quality through governance and regular checks
5. Design and implement data pipelines, ETL processes, and dashboards
6. Apply knowledge of analytics, AI, and cloud technologies
7. Work with varied data products and data lake architectures
8. Coordinate projects with internal teams and external vendors
9. Communicate complex ideas clearly and simply
10. Promote Agile and Lean practices across teams

Job Requirements:

1. Deep knowledge of PowerBI
2. Deep knowledge of SQL
3. Good knowledge of Power Automate
4. Good knowledge of Paginated Reports
5. Familiarity with Microsoft Fabric
6. Familiarity with Insurance Industry