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

Nominate & Attend

Data Analyst

JR United Kingdom
Chesterfield
1 week ago
Create job alert

Social network you want to login/join with:

Propel Finance was established in 1996 to provide flexible and accessible finance to SMEs across the country. Now, more than 20 years on, Propel has grown to become one of the UK’s largest, independent finance houses. We have continued to deliver leading-edge finance solutions through a unique combination of teamwork and technology.

From this continued success we are now looking to recruit aData Analystto allow us to continue our exciting growth plans.

Our aim is to take the service we offer to the next level, to push the boundaries of what’s available, and to create great customer experiences consistent with our values. Does that sound like something you’d like to be part of?

As a key member of our team, you’ll be responsible for translating business requirements into practical data models, reports, and dashboards that deliver real insights

Role responsibilities;

  • Stakeholder Engagement:Collaborate with key stakeholders across the business to understand their data needs, gather requirements, and provide clear insights that drive decision-making.
  • Data Modelling & Analysis: Design, develop, and maintain scalable data models to ensure data quality and accuracy, utilising SQL and Azure Synapse where necessary.
  • Dashboard Development:Build and maintain visually compelling and interactive dashboards in Tableau
  • Performance Monitoring & Reporting:Create detailed reports on portfolio performance, profitability, risk, and compliance metrics, and deliver them to relevant stakeholders.
  • ETL & Data Pipelines:Work with Data Engineers to develop and optimise data pipelines for extracting, transforming, and loading (ETL) large datasets from various sources into relevant data structures.
  • Data Governance:Ensure data is consistent, reliable, and stored securely
  • Continuous Improvement: Drive process improvements in analytics, reporting, and stakeholder communication.
  • Experience working in a similar role, preferably in Financial Services sector
  • Excellent SQL skills including writing complex queries, optimising performance and managing large datasets
  • Strong experience in data visualisation with Tableau or PowerBi and ability to build interactive dashboards

So, why would you want to work here?

We have a great working environment and we’re an ambitious business. We achieve so much because of our people. Everyone in the business, no matter their team or role can shape the outcome, share ideas, make suggestions, and have their voice heard. It’s a truly collaborative place to work.

At Propel, we embrace hybrid working and with modern offices in Newport, London and Manchester, plus a field-based sales team, you’ll never be too far away from colleagues.

This is a remote role, with 1 day in the Newport as required, on every once per quarter.

Benefits you can expect:

  • 25 days annual leave + bank holidays
  • 2 additional days holiday after 5 years’ service
  • Birthday day off
  • Opt in Private Medical Insurance
  • Subsidised gym membership at £18.75 a month
  • Cycle to Work Scheme
  • Electric Car Scheme
  • Buy Annual Leave Scheme
  • Half day seasonal shopping
  • Auto enrolment pension – 3% employer contribution subject to eligibility
  • Life Assurance 3 x basic salary
  • Company events and reward schemes

We are proud to be a member of Stonewall’s Diversity Champions programme and are committed to improving workplace inclusion.

The Curve Group is Propel’s outsource partner for Recruitment and a "Data Processor". The Curve Group will hold the information you submit but Propel will have access to it. You can find their privacy policy here: https://www.thecurvegroup.co.uk/privacy-policy/


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

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.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.