Finance Data Analyst – Controls

Sysco
Ashford
14 hours ago
Create job alert
Finance Data Analyst – Controls

Sysco GB are currently recruiting for a results driven Finance Data Analyst to join our Controls Finance team in Ashford, Kent on a full time, permanent basis.


Reporting to the Senior Finance Business Partner Controls, you will be responsible for ensuring adherence with the key SOX controls for Finance and supporting with delivery of month end results for the Sysco GB divisions. This role is also responsible for ensuring alignment of key reporting systems and external reporting to the government on Payment Practices across all divisions. This role is also hands on with the transformation projects currently underway within Finance, ensuring alignment of best practice processes across the Sysco GB divisions.


Sysco GB has an exciting 5-year growth strategy plan involving some large scale transformation programmes and projects, so this is a perfect role and business for someone who enjoys working with senior stakeholders whilst also looking to gain exposure and experience in a commercial finance setting. This is a well supported role for a finance professional looking to take the next step in their career. We offer a clear development path up to a Finance Business Partner and even offer a study support package towards your accounting qualifications!


This role is offering flexible hybrid working with 1-2 days based in our Kent office for team collaboration and meetings, so you must be within a commutable distance.


Key Accountabilities & Responsibilities:

  • Responsible for key monthly SOX control, ensuring alignment between the Data Warehouse tool, used for Commercial reporting, and General Ledger, used for Financial reporting.
  • Responsible for investigating any discrepancies in the above data sets, and working to a logical conclusion to resolve these and prevent them occurring again.
  • Completing month end processes for Central Finance, including completion of monthly Balance Sheet reconciliations
  • Involvement in the Business Process re‑engineering workstream to standardise and embed best practice processes across Sysco GB divisions
  • Support with transformation projects, acting as a Super User and User Acceptance Tester for systems implementations
  • Act as a key point of liaison for collaboration between Commercial Finance, Central Finance and Technology teams
  • Stand in for Senior Finance Business Partner as required

About you:

This is a great role for someone with a strong academic background and excellent commercial acumen who is currently training or would like to train in CIMA or ACCA in the future. You will bring strong data capability and confident Excel skills, enabling you to work effectively with stakeholders across the business while managing and interpreting multiple streams of information. You will have excellent communication and teamwork skills to liaise effectively with multiple stakeholders and departments across the business, as well as being meticulous in your analysis and able to prioritise and manage different sources of information with a dedicated focus on driving results. You will have a strong desire to succeed and take ownership of your work, using your initiative to spot anomalies, question why and follow enquiries to a conclusion whilst maintaining professional and ethical standards.


What you’ll get:

  • A highly competitive package including flexible lifestyle benefits
  • Unbeatable discounts on our fantastic range of award-winning products
  • Generous holiday allowance, with option to purchase more!
  • Recognition awards and Incentives
  • Competitive pension scheme
  • Real career opportunities - being part of Sysco, the world’s leading foodservice business, opens up a world of possibility
  • Flexible hybrid working

There’s a lot on offer, so what are you waiting for?


FEED YOUR AMBITION. DELIVER YOUR FUTURE


Additional Information

At Sysco GB everyone is welcome. We don’t want you to ’fit our culture’ we want you to help define it and we actively celebrate the unique talents of each and every colleague. We don’t just look at your CV, we’re more focused on who you are and your potential. As part of our values, we are committed to fostering a diverse and inclusive culture where everyone has a voice, is appreciated and has the same opportunities. We work hard to ensure that everyone feels part of our business, as we care for one another and connect the world through food and trusted partnerships. Our ultimate goal is to ensure that everyone belongs and thrives at Sysco GB and we recognise that Sysco GB can only thrive when everyone feels they belong. We’ll do everything we can to support you during your application. If you need us to make any adjustments to our recruitment process, speak to our resourcing team who will be happy to support you.


#J-18808-Ljbffr

Related Jobs

View all jobs

Finance Data Analyst - SOX Controls & Transformation

Finance Data Analyst — Hybrid, Study Support & Growth Path

Finance Data Analyst

Finance Data Analyst

Finance data analyst business partner (Visa Sponsorship Available)

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.

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.

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.

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.