Senior Data Analyst

Maxwell Bond

Manchester, United Kingdom

Last month

Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Ageas Insurance Limited Reigate, RH2 0AA, United Kingdom

£70,000 – £85,000 pa Hybrid

Senior Data & Machine Learning Engineer

Forward Role Warrington, United Kingdom

£55,000 – £65,000 pa Hybrid

Digital & AI Training Lead

National Skills Agency London, United Kingdom

£50,000 – £60,000 pa Remote

Digital & AI Training Lead

National Skills Agency Birmingham, West Midlands (county), United Kingdom

£50,000 – £60,000 pa Remote

Digital & AI Training Lead

National Skills Agency Manchester, United Kingdom

£50,000 – £60,000 pa Remote

Senior Forensic Data Analytics Manager

Brimstone-Recruitment Dublin, City Of Dublin, Ireland

Posted: 14 Mar 2026 (Last month)

Save job

Create job alert

Applications closed

Senior Data Analyst – Azure & Power BI (Tech for Good)

Manchester City Centre | 2 days/week in office | £65k–£75k | Hybrid

Do you want your work to directly improve people’s lives and health? Here’s your chance.

This is an opportunity for a Senior Data Analyst to take the lead in shaping the company’s data strategy and analytics platform. This isn’t just about dashboards - you’ll design the pipelines, warehouses, and processes that turn complex, multi-source data into clear insights that influence decisions across the business and help improve health and wellbeing outcomes for the communities we serve.

In this role, you will:

* Own the design and implementation of data pipelines and warehouses, turning raw operational data into actionable insights.

* Build and optimise Power BI solutions for enterprise reporting, embedded analytics, and self-service dashboards.

* Make strategic decisions about data architecture and licensing, balancing cost, efficiency, and scalability.

* Collaborate with developers, graduates, and business leaders, ensuring data is accessible, secure, and usable for everyone who needs it.

You won’t just be “doing the reports” - you’ll be the most senior technical data professional, influencing how the organisation uses data today and tomorrow. Your work will have real-world impact, helping people lead healthier, better lives.

What Makes You Stand Out:

* Strong experience with Power BI architecture beyond dashboarding - ideally enterprise-level deployments and licensing strategy.

* Solid knowledge of Azure data stack: Azure Data Factory, Data Lake, Azure SQL, and data warehousing.

* Ability to design ETL/ELT pipelines using visual tooling to move and transform data efficiently.

* Strong SQL and data modelling skills, with experience turning document-based databases (like MongoDB) into relational views.

* Experience balancing technical design with cost-efficiency, particularly in licensing and cloud resources.

* Bonus: exposure to AWS, Matillion, Snowflake, or Python.

* Collaborative, problem-solving mindset and the confidence to influence stakeholders across the business.

Why This Role is Special:

* Be part of a Tech for Good company focused on improving health and wellbeing.

* Lead high-impact data projects and influence strategy at the group level.

* Shape a modern, cloud-first data platform used across multiple business units.

* Work two days per week in the Manchester City Centre office, collaborating closely with colleagues while enjoying hybrid flexibility.

* See your work have a real-world impact, empowering teams and helping people live healthier lives.

Interview slots are already booked in so the process will move quickly. If this looks like a great fit then please apply today

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.

Apr 9, 2026

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.

Mar 24, 2026

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.

Feb 11, 2026

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.