FP&A Analyst

Bolton

9 months ago

Applications closed

Related Jobs

View all jobs

Business / Data Analyst

Finance Data Analyst

Michael Page are recruiting for an FP&A Analyst on behalf of a private equity backed business based in Bolton.

This role will provide high-quality financial planning, analysis and reporting to the finance leadership and operational teams and will be a trusted and valued Finance Business Partner to senior management, providing strategic financial insight to drive growth.

Client Details

Our client is a brilliant, private equity backed business with a fantastic culture, excellent hybrid / flexible working policy, brilliant benefits & a mission to change lives.

The business always look to promote internally and are currently experiencing significant growth both organic and in the form of mergers & acquisitions.

Description

FP&A Analyst duties include:

Financial performance:

Lead month-end reporting and analysis to Operational leaders, delivering clear and accurate financial results in a timely manner.
Analyse monthly financial results prepared by the accounting team to highlight and comment on key variances to budget or forecast.
Collaborate with and support stakeholders to understand, track and analyse site financial performance, building rapport and holding them accountable for budget targets.
Ensure that financial KPIs for relevant divisions are clearly and accurately reported on, with key trends highlighted to support informed decision making.
Communicate performance effectively and objectively to the business, challenging budget holders and fostering a culture of accountability.
Manage and maintain the month-end query tracker, ensuring site leaders receive prompt and clear responses to aid their understanding of financial results.
Continuously review and improve the reporting processes and analysis across the FP&A and wider Finance team where appropriate.
Work closely with the Business Intelligence team to create and distribute financial results and scorecards through systems and automation.Budget and Forecast:

Lead the budgeting process for respective area, ensuring alignment to overall strategy and relevant analysis is provided in-line with strict Group timelines.
Support the Finance Business Partners in the budgeting process across all areas of the Group, ensuring alignment to strict timelines and relevant analysis is adhered to.
Maintain a budget and forecasting financial model to ensure consistency of data across all areas, including relevant KPIs.
Support the Lead FP&A Analyst, Head of FP&A and Business Intelligence team in implementing system-driven automation for reporting, budgeting and modelling tools.Customer service:

Build strong relationships with senior leaders and operational teams, including relevant department heads.
Act as the main point of contact on behalf of the wider finance team for responding to queries raised directly to the job holder.
Demonstrate strong financial business partnering skills by:
Providing timely delivery of monthly reports and scorecards (with support from the Business Intelligence team)
Offering training and guidance on financial awareness to key senior leaders in operational teams as needed.
Model a positive, professional and collaborative ethos in the Finance team, fostering a supportive and productive work environment.Profile

The successful candidate will:

Have a proven track record in a similar role (FP&A, Commercial Analysis, Management Accounts etc).
Be part qualified ACA / ACCA / CIMA or qualified by experience.
Be competent handling large data sets on Excel.
Be an excellent written and verbal communicator.
Be able to work to tight deadlines
Be familiar with financial modelling, budgets, forecasts, cashflow.

Job Offer

A salary of £40,000 - £50,000
Hybrid working (2 days per week in the office)
4 day working week (with full pay)
Study support
Pension
Health insurance
Enhanced maternity & paternity leave
Electric car purchase scheme
25 days holiday plus bank holidays

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Feb 10, 2026

Careers

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.

Feb 3, 2026

Jobs

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.

Jan 23, 2026

Education

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.