Business Intelligence Analyst

Chandler's Ford
4 weeks ago
Create job alert

Business Intelligence Analyst
Location: Eastleigh, Hampshire - Hybrid Working
Hybrid: 3 Days in Office / 2 Days WFH per week
Salary: £40k - £45k DOE + Bonus + Benefits

Deerfoot Recruitment is supporting a respected organisation on the South Coast in the search for a talented Business Intelligence Analyst. This is an excellent opportunity for an analytical professional to play a key role in shaping a data-driven culture and supporting strategic and operational decision-making through impactful data insights.

The Business Intelligence Analyst will be responsible for converting complex data into actionable insights, creating clear and intuitive reports and dashboards, and ensuring stakeholders across the organisation have access to accurate, timely information. The successful candidate will collaborate with business and technical teams to deliver tailored data solutions, enhance reporting processes, and support continuous improvement across the business.

Key Responsibilities:

Develop intuitive dashboards and reports using Power BI and other BI tools to support key business functions.

Conduct in-depth data analysis to inform strategic decisions and drive operational improvements.

Collaborate with stakeholders to understand reporting needs and deliver tailored solutions aligned with business objectives.

Ensure accuracy, consistency, and timeliness of reporting outputs, adhering to data governance and quality standards.

Work with IT and Data Engineering teams to maintain robust data pipelines and optimise data models for reporting performance.

Present data insights clearly to both technical and non-technical audiences, promoting evidence-based decision-making.

About You:

Proven experience in a BI Analyst or similar analytical role, ideally in a commercial or customer-focused environment.

Proficiency in Power BI, Microsoft SQL Server, and advanced SQL querying for data analysis and reporting.

Experience in data modelling, relational databases, and advanced Excel.

Knowledge of Python or other scripting languages (desirable).

Strong understanding of data governance, quality standards, and GDPR compliance.

Excellent communication skills, with the ability to present insights to diverse audiences.

Experience with Microsoft Azure data services and data pipeline optimisation (desirable).

Rewards & Benefits:

Competitive salary and performance-related bonus

Bespoke induction and ongoing training

Enhanced family leave and life insurance

Healthcare cash plan

Company pension scheme

23 days holiday (plus bank holidays), increasing with service

Staff discounts and additional perks

This is a hybrid position based in Eastleigh, near Southampton. If you are passionate about turning data into valuable insights and want to make a real impact in a forward-thinking business, Deerfoot would like to hear from you.

Apply now to be considered for this exciting opportunity.

Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate £1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy

Related Jobs

View all jobs

Mandarin Speaking AVP Business Intelligence Analyst

Senior Business Analyst - Surrey - £65k

Business Data Analyst

Senior Data Analyst

Data Analyst / Developer - You must have Fabric skills

Reporting and Data Analyst

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.