Interim Finance Data Analyst

Cedar
West Midlands
2 weeks ago
Applications closed

Related Jobs

View all jobs

Junior Erp Data Analyst

Quantitative Talent Partner

Quantitative Talent Partner

Interim Senior Data Analyst

Data Strategy - Manager/Senior Manager

Remote Interim Wherescape Red Data Warehouse Expert

Interim Finance Data Analyst

Daily rate: £400 to £450 per day Location: Midlands, Hybrid (2 days on site) Sector: Local Government


We are supporting a Midlands based local authority seeking an experienced Interim Finance Data Analyst to join their team. This role sits within a commercially focused environment and requires someone who can confidently collaborate with senior stakeholders and operational teams.


Public sector experience is essential, along with strong stakeholder management skills and proven experience handling complex financial data.


Key Requirements

  • Strong background in financial data analysis within a commercial or public sector environment
  • Ability to work confidently with senior stakeholders and influence decisions
  • Advanced Excel skills with the ability to build models and manipulate complex datasets
  • Experience analysing financial performance, income trends, cost structures, and operational drivers
  • Ability to translate complex information into clear insights and actionable recommendations

What you will be doing

  • Analysing trends, performance drivers, income patterns, and cost structures across traded services
  • Developing financial and operational models to assess service viability, pricing options, and efficiency opportunities
  • Using statistical and predictive techniques to support scenario planning
  • Producing clear analysis summaries, reports, and presentations for operational teams and senior leadership
  • Turning complex data into meaningful insights to support strategic decision making

This is an excellent opportunity for an immediately available analyst who thrives in a fast paced, data driven environment and enjoys working closely with stakeholders to drive performance.


#J-18808-Ljbffr

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.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.