National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Analyst (12 Month Fixed Term Contract)

Siemens
Buckinghamshire
1 week ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

About the RoleWe 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.This role is based out of our Stoke Poges office, with hybrid working available (2-3 days per week in the office). 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.

What we're looking for:Required:Education & Experience:Degree in Computer Science or equivalent professional experienceTechnical Skills:Proficient in tools like SQL, Tableau, PowerBI, Python, and familiar with data architecture, ETL/ELT, data lakes, and warehouses.Soft Skills:Strong communicator, detail-oriented, problem-solver, and able to work both independently and in a team.Preferred:Experience in the Financial Services industry.Awareness of the latest data science technologies and their practical applications.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 experienceAt 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. Watch our video to find out more 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.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.