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

Nominate & Attend

Senior Product Data Analyst

Consortia
Bristol City
1 month ago
Create job alert

Senior Product Data Analyst 

Join a company that’s reshaping an entire industry through innovative digital solutions. With over 20 years of expertise and a vision for continuous growth, this client leads the way in fintech, transforming traditional processes into efficient, data-driven strategies that benefit their global clientele. With a diverse team spread across 25 countries, this organisation combines the stability of an established business with the drive and creativity of a company in constant evolution. As they continue to develop new products and scale up operations, this role offers an exciting chance for experienced professionals to make a meaningful impact.

The Senior Data Analyst will be essential in enabling data-informed decision-making across a dedicated product team. You’ll work closely with engineers, product managers, and designers to drive business strategies through actionable insights.

In this role, you will leverage advanced data analysis techniques, such as cohort studies, funnel analysis, and lifetime value metrics, to generate meaningful insights from complex datasets that can guide product and business decisions. You will be responsible for developing and maintaining performance dashboards and reports, examining trends and key metrics to highlight opportunities for improvement. Part of your role will involve strengthening the data infrastructure, enhancing accessibility and usability through tools like SQL, Python, BigQuery, and Excel, and recommending improvements for ongoing efficiency. Your advanced data expertise will play a crucial role in analysing products across financial services such as payroll solutions, multi-currency wallets, and vendor payments. You’ll create customer segmentation models that support targeted engagement strategies, and you’ll serve as the central point of contact for data needs across teams in product, marketing, engineering, and operations. This position also involves monitoring KPIs, developing trends analysis, and facilitating cross-functional data integration to support strategic optimisation. Additionally, you will communicate insights clearly to stakeholders, making complex data understandable and actionable, and foster a culture of innovation within the team by promoting new analytical tools and methods.

Qualifications and Skills:

Strong experience in data analytics, ideally in a fintech or high-growth setting.


Excellent communication skills, with an ability to make complex data insights accessible to various stakeholders.
Hands-on experience collaborating with teams across product, engineering, marketing, and operations.
Technical proficiency in SQL, Python, R, and a capacity for learning new data tools and methods.
High levels of statistical and numerical understanding, with a solid foundation in statistical and financial analysis.
Proven experience creating reliable data processes and ensuring data accuracy.
Familiarity with regulatory standards in financial or relevant sectors to ensure data compliance.
Comfortable working in a fast-paced, adaptable environment with a readiness to adjust strategies as necessary.

Related Jobs

View all jobs

Senior Product Data Analyst

Product Data Analyst

Product Data Analyst

Data Analyst

Data Analyst – Automotive Industry

Data Analyst – Automotive Industry

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.