UK&I Tax & Finance Data Analyst

Mars
Reading
3 days ago
Create job alert

Job Description:

To support the tax professionals in ensuring all UK & Irish entities maintain highquality tax compliance and reporting. The role is responsible for the data, analysis, and controls that enable accurate, timely, and compliant tax reporting and tax return preparation for the UK & Ireland group.

The jobholder partners closely with tax specialists, the Mars Accounting Service Centre, PwC, and business unit finance teams to ensure that accurate, complete, and wellcontrolled data flows into corporation tax returns, tax provisioning, forecasting, and group reporting.

What will be your keyresponsibilities?

  • Own and manage all financial data required from PwC, the Mars Accounting Service Centre, and business units to ensure complete,accurate, andtimelydata for tax submissions.

  • Coordinate andvalidatefinancial data across legal entities, ensuring it is fully aligned to tax reporting requirements.

  • Extract, prepare and analyse data used to prepare Corporation Tax Returns, taxpaymentsand other tax processes.

  • Support the corporation tax reporting process, including tax returns, deferred tax calculations, and group reporting.

  • Deliveraccurateand well supported data for audit queries and tax authority requests.

  • Support the UK Tax Senior Manager in integrating newlyacquiredor newly established businesses into the UK&I tax centre processes.

What do we need from you?

  • Finance qualification and data analyst experience or equivalent experienceof analysing / sorting underlying data to prepare accounts and/or tax returns.

  • Experience of extracting and analysing data from accounting information systems such as SAP, ORACLE & Hyperion.

  • Strong Excel skillsincluding:Pivot Tables, Complex formula, Query & other data analysis techniques.

  • Working knowledge of Corporation Tax concepts such as taxable profit, permanent and temporary difference would be desirable, but not essential.

  • Experience of at least one Analytical/data tool Alteryx.

What can you expect from Mars?

Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, wherewerestriving to build the world we want tomorrow, today. A strong focus on learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus.


JBRP1_UKTJ

Related Jobs

View all jobs

UK&I Tax & Finance Data Analyst

UK&I Tax & Finance Data Analyst (Maidenhead)

UK&I Tax & Finance Data Analyst (Slough)

UK&I Tax & Finance Data Analyst

UK&I Tax & Finance Data Analyst

UK&I Tax & Finance Data Analyst

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.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.