At a Glance
- Tasks: Dive deep into data analysis and transform complex datasets into actionable insights.
- Company: Join a leading UK business with a focus on innovation and analytics.
- Benefits: Competitive pay, flexible working options, and opportunities for skill development.
- Why this job: Make a real impact by supporting strategic decisions with your analytical skills.
- Qualifications: Strong SQL/Python skills and experience in finance analytics are essential.
- Other info: Fast-paced environment with opportunities to automate processes and enhance tools.
The predicted salary is between 36000 - 60000 Β£ per year.
A high-impact FP&A Data Analyst role at the heart of a large, complex UK business, focused on deep data analysis rather than traditional reporting. This role supports commercial decision-making by building robust data models, automating insight, and transforming large datasets into clear, actionable performance intelligence.
You will work with finance and business stakeholders to design scalable FP&A datasets, develop advanced analytics, and create scenario models across profitability, pricing, cost, working capital, and long-term planning. Expect heavy data crunching, automation, and coding, with a strong focus on accuracy, speed, and insight. Ideal for someone with serious analytical firepower - strong SQL/Python (or similar), advanced Excel, BI tools, and a passion for turning complex financial data into powerful decision-making insight.
- Data & Analytics
- Build, maintain, and optimise large FP&A datasets by integrating financial, operational, and commercial data from multiple source systems.
- Write and maintain production-quality code (e.g. SQL, Python, or similar) to clean, transform, and model data.
- Develop scalable data pipelines and analytical models to support forecasting, planning, and performance analysis.
- Ensure data accuracy, integrity, and consistency across all FP&A outputs.
- Deliver deep analytical insight across profitability, pricing, margin, cost, working capital, and sustainability metrics.
- Build driver-based and scenario models (e.g. price, volume, cost, FX, mix) to support strategic and commercial decision-making.
- Move FP&A from backward-looking reporting to forward-looking, predictive insight.
- Automate recurring FP&A processes to reduce manual effort and increase speed and reliability of insight.
- Develop and maintain dashboards, BI outputs, and analytical tools for finance and non-finance stakeholders.
- Continuously improve FP&A tools, models, and templates, challenging traditional spreadsheet-heavy approaches.
- Strong experience in FP&A, commercial finance analytics, or finance-focused data analytics roles.
- Experience operating in large, complex, or multi-entity organisations.
- Exposure to working with imperfect, high-volume datasets is essential.
- Technical Skills (Core)
- Strong coding capability in SQL and/or Python (or equivalent).
- Advanced Excel or Google Sheets (used selectively, not as the primary tool).
- Experience with BI tools (e.g. Qlik, Power BI, Tableau, or similar).
- Experience with financial planning systems and large ERP datasets.
- Strong data modelling and data transformation skills.
FP&A Data Analyst - 6 Months Contract in Leicester employer: Churchill Howard Limited
Contact Detail:
Churchill Howard Limited Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land FP&A Data Analyst - 6 Months Contract in Leicester
β¨Tip Number 1
Network like a pro! Reach out to your connections in the finance and data analytics space. Attend industry events or webinars, and donβt be shy about asking for introductions. You never know who might have the inside scoop on job openings!
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data models, dashboards, and any automation projects you've worked on. This is your chance to demonstrate your analytical firepower and how you can turn complex data into actionable insights.
β¨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with SQL, Python, and BI tools. Practice explaining your thought process when tackling data challenges, as this will show your problem-solving abilities.
β¨Tip Number 4
Donβt forget to apply through our website! Weβre always on the lookout for talented FP&A Data Analysts. Make sure your application stands out by tailoring it to highlight your relevant experience and passion for data-driven decision-making.
We think you need these skills to ace FP&A Data Analyst - 6 Months Contract in Leicester
Some tips for your application π«‘
Show Off Your Analytical Skills: When you're writing your application, make sure to highlight your analytical firepower! Talk about your experience with SQL, Python, and any BI tools you've used. We want to see how you can turn complex data into actionable insights.
Tailor Your Application: Donβt just send a generic application! Tailor your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. Show us how your background aligns with the FP&A Data Analyst role and why you're the perfect fit.
Be Clear and Concise: We love clarity! Make sure your application is easy to read and straight to the point. Use bullet points where necessary and avoid jargon unless itβs relevant. We want to understand your experience without wading through fluff.
Apply Through Our Website: Remember, the best way to apply is through our website! It ensures your application gets to the right place and helps us keep track of everything. Plus, itβs super easy β just follow the prompts and youβre good to go!
How to prepare for a job interview at Churchill Howard Limited
β¨Know Your Data Inside Out
Before the interview, dive deep into your past experiences with data analysis. Be ready to discuss specific projects where you built data models or automated processes. Highlight how your analytical skills led to actionable insights, especially in FP&A contexts.
β¨Showcase Your Coding Skills
Brush up on your SQL and Python skills, as these are crucial for the role. Prepare to demonstrate your coding capabilities during the interview, perhaps by discussing a piece of code you've written or a problem you've solved using these languages.
β¨Prepare for Scenario Modelling Questions
Expect questions that test your ability to create scenario models. Think about how you would approach modelling profitability, pricing, or cost scenarios. Be ready to explain your thought process and the tools you would use to develop these models.
β¨Emphasise Your Automation Experience
Discuss any experience you have with automating FP&A processes. Share examples of how you've reduced manual effort and improved the speed and reliability of insights. This will show your potential employer that you're not just about crunching numbers but also about optimising workflows.