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

Nominate & Attend

Commercial Finance Data Analyst

Workable
Cardiff
1 week ago
Create job alert

We are looking for a Finance professional who provides strategic and long-term analytical support to the Commercial Finance Director.

Requirements

What You'll Do:

Analysis and Insights -Be the focal point for ad hoc commercial financial queries from the Commercial Finance Director that sit outside of BAU monthly performance

Deep dive insights – as topics and focus points arise, provide modelling and analysis to link up FP&A with Business Partnering teams

Review global data sets around themes such as Pricing, Leverage mix / FTE structures and provide proactive reviews to surface areas of opportunity

Apply various tools such as investment appraisal techniques on items such as business cases or new go-to-market offerings to better inform decision making and adopt a partner/challenger role in evaluating business plans and business cases.

Partner data analysis & KPI reporting – take ownership of the end-to-end process from data gathering to insights and presentations

FTE analysis – drive great connection between Finance, HR and DTS on data consistency and provide insights to both FP&A and Commercial Finance

Link up analysis between Sales and P&L results – e.g. historic trends, risks & opportunities in forecast

Strategy (including Mergers and Acquisitions)

Provide scenario modelling on areas under consideration for the short and longer-term strategy – capital raise; business case assessments on target areas for M&A activity

Segment the business in alternative lenses to provide recommendations on the growth strategy (e.g. geographical lens or type of work performed)

Who You Are:

  • Strategic mindset with ability to understand business goals beyond the numbers and interpret broader organizational context
  • Strong analytical skills, including trend identification and financial forecasting
  • Exceptional interpersonal and influencing skills, able to challenge and collaborate with diverse stakeholders at all levels
  • Clear and concise communicator, adept at conveying financial concepts to both technical and non-technical audiences
  • Technical proficiency in:
  • ERP systems
  • Microsoft Suite (particularly advanced Excel modelling)
  • Financial reporting tools
  • Proven ability to prioritize competing demands and meet deadlines while maintaining quality

Preferred

Microsoft D365 experience

Benefits

  • Control Risks offers a competitively positioned compensation and benefits package that is transparent and summarised in the full job offer.
  • We operate a discretionary global bonus scheme that incentivises, and rewards individuals based on company and individual performance.
  • As an equal opportunities employer, we encourage suitably qualified applicants from a wide range of backgrounds to apply and join us and are fully committed to equal treatment, free from discrimination, of all candidates throughout our recruitment process

Control Risks is committed to a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status”

If you require any reasonable adjustments to be made in order to participate fully in the interview process, please let us know and we will be happy to accommodate your needs.

Related Jobs

View all jobs

Finance Analyst

Finance & Data Analyst

Finance & Data Analyst

Finance & Data Analyst

Finance & 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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.