Strategic Planning Data Analyst

Loughborough University
Loughborough
8 months ago
Applications closed

Related Jobs

View all jobs

Warehouse Labour Data Analyst

Warehouse Labour Data Analyst

Warehouse Labour Data Analyst

Contact Centre Data Analyst

Data Analyst

Fluent Spanish - Senior Business Intelligence Data Analyst

Job description

Contract Type: Full-time, open-ended

Hybrid working: Loughborough University is committed to allowing its employees to work dynamically with a combination of working on campus and remotely, where possible, for this role we would expect a 60/40 split of work in the office in Loughborough / working from home.

The Role: We are seeking a dedicated professional to generate management information to inform the strategic plans of the University.

Key Responsibilities

To support the analysis of a wide range of internal and external data linked to the delivery of University strategy. This will include student, staff, research and finance data sets. To support cross-institutional data analysis teams with the Strategic Planning Analyst Lead (Management Information). To liaise with Schools and Professional Services about the range and nature of management information that is helpful to support their activities.

To be successful in the role, you will:

Hold a degree and/or demonstrate equivalent experience. Have proven experience in extraction, cleaning, manipulation and analysis of data. Have strong communication and collaboration skills and demonstrate excellent problem-solving skills. The ability to prioritise and manage a diverse workload independently. Be committed to equity, diversity, and inclusion.

A full list of the essential criteria is available within the person specification please ensure you address each of these when applying for this post, a submission of CV alone would not be considered – please see full details below.

Reward and Benefits:

Loughborough is a great place to work, and we offer a substantial benefits package to go alongside your exciting role, including:

Competitive salary Generous annual leave allowance, with up to 44 days (inclusive of Bank Holidays & University closure days). Support for your health and wellbeing, including discounted gym memberships, access to incredible sporting facilities including physiotherapy appointments, as well as healthcare offers including eyesight testing and wellbeing support. Flexible working arrangements to support work-life balance. A Competitive pension scheme. Supportive work environment with opportunities for professional development. Access to on-campus nursery and subsidised childcare options.

Find out more about our . 

Application Process:

Applications for the role will be reviewed against theessentialanddesirablecriteria listed in the person specification. Applicants should clearly state how they meet each of the essential (and desirable) criteria in their application giving examples from their career history. For further support with your application, please , which includes some top tips and support to help you when completing your application  For an informal conversation about the post including any questions about the application process please contact the line manager, Linda Bull, Strategic Planning Analyst Lead (Management Information), via email If you are planning to travel by car, please be aware that parking on campus is charged. Please see details here including how to register and pay for parking To claim expenses, please to see details for the campus, expenses and travel. For an expense form please ; if your bank account is not UK based, you will also need to .

Closing date: Wednesday 16th April 2025

Interviews: Anticipated 28th or 29th of April 2025

Candidates selected for interview will be informed via email by no later than 17th of April 2025.

For more information, please refer to the

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.