Reporting & Data Analyst

Stratford
2 months ago
Applications closed

Related Jobs

View all jobs

Performance and Data Analyst (SEND)

Data Analyst

Data Analyst / IT Support

Data Analyst

Systems and Data Analyst

Data Analyst

Axis CLC is a national property maintenance and compliance partner, backed by over 110 years of combined experience. We employ more than 2,500 people and support over 400 clients across the UK, delivering essential repairs, refurbishment and building safety services that keep homes and public buildings operating at their best. Each year we complete over 400,000 repairs, helping to keep tenants safe, properties performing and owners fully compliant.

We are looking for a Reporting & Data Analyst to join our Finance function, supporting the delivery of accurate, insightful financial and operational reporting across the Group.

Reporting to the Finance Systems / Reporting Lead (or relevant manager), this role sits at the intersection of finance, data and systems. You will be responsible for extracting, transforming and analysing data from Dynamics 365 Finance & Operations (D365 F&O) and a range of legacy and unstructured sources, translating complex datasets into clear, actionable insight for finance and operational stakeholders.

This role plays a key part in strengthening reporting capability, improving data quality and supporting evidence-based decision-making across the business.

Key Responsibilities

You will:

Extract financial and operational data from D365 Finance & Operations using appropriate tools and methods, including DMF, OData and BYOD

Transform and structure data from unstructured sources such as spreadsheets, CSV files, PDFs and text-based reports using Power Query

Develop, maintain and improve Excel-based reporting, including PivotTables, Power Pivot models and advanced formulas

Build and maintain Power BI dashboards to support reporting of key performance indicators, including AR/AP, cash flow and project accounting

Perform data validation and cleansing activities, identifying root causes of data quality issues and implementing sustainable solutions

Work closely with finance and operational stakeholders to understand reporting requirements and translate technical outputs into clear business insight

Support the automation and standardisation of reporting processes to improve efficiency, consistency and control

Contribute to continuous improvement initiatives relating to finance systems, data governance and reporting frameworks

Skills, Knowledge & Experience

Essential:

3–5 years’ experience in a data, reporting or analytics role, ideally within a finance or ERP environment

Practical experience working with Dynamics 365 Finance & Operations, with an understanding of core finance modules (GL, AP, AR)

Advanced Excel capability, including Power Query, Power Pivot and complex formulas

Strong SQL skills, with experience writing queries involving joins and aggregations

Proven ability to work with large, inconsistent or unstructured datasets

Strong analytical skills with the ability to present clear, meaningful insight to non-technical stakeholders

Desirable:

Experience using Power BI for dashboard development and reporting

Exposure to Power Automate, Azure Data Lake or Microsoft Fabric

Experience supporting finance or reporting transformation initiatives

Relevant Microsoft certifications (e.g. D365 Fundamentals MB-920 or PL-300)

What We Offer

Salary £65,000 - £75,000 per annum (dependent on experience)

A competitive salary package with a performance-related bonus

Pension scheme and life assurance

25 days’ holiday plus bank holidays

Perkbox (discounts, perks and wellbeing offers)

1 paid volunteer day

£2,000 refer-a-friend bonus after the referee passes probation

Opportunities for development and progression across Axis CLC

Why Axis CLC

Joining Axis CLC means being part of a national team delivering essential services across housing, education, healthcare, defence and commercial property. We value insight, quality and evidence-based decision-making, and offer roles where your work directly influences business performance and long-term growth.

Our Commitment to Inclusion

Many faces, one Axis CLC. We value diversity and are proud to be an equal-opportunity employer. If you require any adjustments during the hiring process, please let us know

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.

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

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.

🍪 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.