Senior Data Analyst (12 month FTC)
Location: This role is based out of our Stoke Poges office, with hybrid working available (2-3 days per week in the office).
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.
Required Qualifications
* Degree in Computer Science or equivalent professional experience.
* Experience producing BI reporting using Tableau and Power BI.
* Experience troubleshooting in SQL.
* Experience applying database modelling design principles and deploying ETL/ELT changes within OLTP and data warehouse/data mart environments.
* Strong communicator, detail‑oriented, problem‑solver, and able to work both independently and in a team.
Preferred Qualifications
* 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.
Benefits
* Performance‑Based Bonus linked to company performance.
* Flexible working hours.
* Pension scheme with employer contributions up to 10%.
* 26 days annual leave (plus bank holidays) and option to buy/sell additional days.
* Private healthcare – free BUPA plan, subsidised 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. 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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