Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Business Intelligence Analyst

Chandler's Ford
6 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst/Business Intelligence Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Data Analyst

Senior Data Analyst

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

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.

Jobs

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.

Jobs

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.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 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.