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Senior Data Analyst

Data Freelance Hub

Stoke Poges

Hybrid

GBP 50,000 - GBP 70,000

Full time

5 days ago
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Job summary

A financial services firm is seeking a Senior Data Analyst for a 12-month contract in Stoke Poges with hybrid working. The ideal candidate will have a degree in Computer Science and experience with SQL, Tableau, Power BI, and ETL/ELT processes. Responsibilities include designing data solutions for Business Intelligence, translating business needs into specifications, and working closely with teams in the UK and Germany. The position offers a performance-based bonus, flexible hours, and generous leave options.

Benefits

Performance-Based Bonus
Flexible Working Hours
Pension Plan
26 days of annual leave
Private Healthcare

Qualifications

  • Degree in Computer Science or equivalent professional experience.
  • Experience in producing BI reporting using Tableau and Power BI.
  • Experience in troubleshooting in SQL.
  • Commercial exposure to database modelling and ETL/ELT.
  • Strong communicator and detail-oriented team player.

Responsibilities

  • Design and maintain data sources for BI solutions.
  • Translate business requirements into specifications and develop SQL scripts.
  • Prepare and deliver accurate data for analytical use.
  • Develop and implement data solutions using ETL/ELT and data lakes.
  • Monitor and tune BI tools for optimal performance.

Skills

SQL
Tableau
Power BI
ETL/ELT experience
Data Modelling
Data Warehouse
Python

Education

Degree in Computer Science or equivalent

Tools

JIRA
Job description

This role is for a Senior Data Analyst on a 12-month contract, based in Stoke Poges with hybrid working. Key skills required include SQL, Tableau, Power BI, and ETL/ELT experience. Financial Services industry experience is preferred.

United Kingdom

January 28, 2026

Stoke Poges

#Data Extraction #BI (Business Intelligence) #Microsoft Power BI #Data Mart #Data Science #ETL (Extract #Transform #Load) #Agile #Strategy #Database Modelling #Jira #Data Warehouse #Data Lake #Data Access #Python #Data Analysis #Computer Science #Tableau #SQL (Structured Query Language)

About the Role

We are seeking an enthusiastic and detail‑oriented Data Analyst on a 12 month contract to join our energetic Data Team within a successful Financial Services business. This is a pivotal role in shaping the digital future of our organisation. You will work closely with business users and take ownership of mining, organising, and analysing data from both existing and new sources to support strategic planning and decision‑making. Working closely with a small team of UK‑based Data Analysts and IT experts (both in‑house and from our central functions in Germany). Your work will directly influence business operations, customer experience, and innovation across departments.

Key Responsibilities
  • Design, build, and maintain data sources for Business Intelligence (BI) solutions.
  • Translate business requirements into functional specifications and develop SQL scripts for data extraction.
  • Prepare and deliver accurate data to C‑suite executives and Data Team members for analytical and operational use.
  • Develop and implement data solutions using techniques such as Data Modelling, ETL/ELT, Data Lakes, Data Warehousing, and system integration.
  • Resolve data access issues, including troubleshooting and corrective action.
  • Monitor and tune BI tools to ensure optimal performance.
  • Own the design and development of automated solutions for recurring reporting and in‑depth analysis.
  • Collaborate with the HQ Data Team in Germany to resolve cross‑border data issues.
  • Explore and apply new data sources and techniques to enhance our data lake and analytics capabilities.
  • Promote the use of data‑driven insights across departments.
Qualifications

Required:

  • Degree in Computer Science or equivalent professional experience.
  • Multi‑project & varied commercial exposure of producing BI reporting using tools like Tableau and Power BI.
  • Multi‑project & varied commercial exposure of troubleshooting in SQL.
  • Multi‑project & varied commercial exposure of applying database modelling design principles and deploying ETL/ELT changes within both OLTP and data warehouse / data mart environments.
  • Strong communicator, detail‑oriented, problem‑solver, and able to work both independently and in a team.

Preferred:

  • Experience in the Financial Services industry.
  • Applied knowledge of JIRA with awareness of Agile methodology.
  • Awareness of the latest data science technologies and their practical applications.
  • Commercial exposure of Python.
Why Join Us?

Be part of a forward‑thinking team driving digital transformation. Collaborate with international colleagues and contribute to cross‑border data initiatives. Work in a supportive environment that values innovation, curiosity, and continuous learning. Opportunity to make a tangible impact on business strategy and customer experience. At SFS, our people are our most important asset, and what matters to them matters to us! We are committed to driving positive change in society and the workplace.

What can we offer?
  • Performance‑Based Bonus: Enjoy an annual bonus linked to the company’s performance.
  • Flexible Working Hours: Achieve a healthy work‑life balance with our flexible working arrangements.
  • Pension Plan: Secure your future with our generous pension scheme, with employer contributions up to 10%.
  • Time Off: Recharge and rejuvenate with 26 days of annual leave (plus bank holidays), and the option to buy or sell an additional 5 days!
  • Private Healthcare – Free BUPA plan, plus subsidised healthcare for immediate family members.

We are fully committed to providing equal opportunities and building an inclusive workplace where a broad range of backgrounds and perspectives thrive. We embrace the many ways people think, learn, and experience the world—because we know that diverse minds drive innovation. So that we can support you to be your best during the application and interview process, please let us know if you have any specific requirements.

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