Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Finance Data Analyst

St. James’s Place
Cirencester
1 week ago
Create job alert
About the role

Are you ready to chart your own career path? At SJP we need talented individuals like yourself to support our evolving culture. If you’re seeking an employer that is passionate about excellence, innovation and autonomy, SJP could be the place for you.


At a glance

  • Location: Cirencester Office
  • Workplace Type: Hybrid
  • Employment Type: Permanent
  • Seniority: Associate

The role

This person will be responsible for the initiation and delivery of procurement and financial data and reporting. They will own the use of data to support SJP’s focus on cost control and maximising value from SJP’s supplier base. They will be innovative in the use of financial and supplier data to support decision making and have a continuous improvement approach, including expanding the dataset where necessary and enhancing reporting.


What you’ll be doing

  • Use data from Group Expense Management key systems (including but not limited to ERP, Concur, CMS) to create, own and maintain reporting and dashboards on both SJP’s cost and supplier base.
  • Engage key stakeholders to continually understand the business requirements of the data to ensure reporting is always relevant and insightful.
  • Investigate data quality issues to understand root cause and identify remedial and preventative actions.
  • Be a contributor to maintaining cost control and good supplier management and performance at SJP, through the use of data.
  • Collaborate with the wider data team in the CFO Directorate and into the CDO.

Who we're looking for

The ideal candidate will be a data enthusiast who is passionate about data accuracy, consistency, validity, integrity and the value that excellent data delivers to the organisation. They will be skilled in using data and reporting, in particular ERP systems, Power BI and SQL. They will have great interpersonal skills and be curious and enthusiastic about how data can be used to benefit SJP. They will have an excellent understanding of SJP’s cost and supplier basis and an innovative and forward-thinking mindset. They will be able to manage multiple tasks and priorities.


Essential Criteria

  • Previous experience using Power BI, SQL and data from ERP systems.
  • Genuine data enthusiast – passionate about the value excellent data can deliver.
  • Advanced Excel skills.
  • A competent communicator capable of fostering relationships with stakeholders across multiple business areas.
  • Creative problem-solving skills.

What’s in it for you?

We reward you for the work you do, whether that is through our discretionary annual bonus scheme that reflects both personal and company performance, competitive annual leave allowance (28 days plus bank holidays, with the option to purchase an additional 5 days), or online rewards platform with a variety of discounts. We also have benefits to support whatever stage of life you are in, including:



  • Competitive parental leave (26 weeks full pay)
  • Private medical insurance (optional taxable benefit)
  • 10% non-contributory pension (increasing with length of service)

Reasonable Adjustments

We’re an equal opportunities employer and want to ensure our recruitment process is accessible and inclusive for all. If you require reasonable adjustment(s) at any stage please let us know by emailing us at . Research tells us that applicants (especially those from underrepresented groups) can be put off from applying for a role if they do not meet all the criteria or have been on an extended career-break. If you think you would be a good match for this role and can demonstrate some transferable experience please apply, regardless of whether you tick every box.


What’s next

If you’re excited about this role and believe you have the skills and experience we’re looking for, we’d love to hear from you! Please submit an application by clicking ‘apply’ below and our team will be in touch. As a business regulated by the FCA we advise you to familiarise yourself with the conduct regulations and in particular consumer duty obligations prior to an interview with SJP.


#J-18808-Ljbffr

Related Jobs

View all jobs

Finance Data Analyst

Finance Data Analyst

Finance Data Analyst

Finance Data Analyst

Finance Data Analyst (FP&A)

Finance Data Analyst (Payroll function)

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 Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.