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

Apply Now

Business Data Analyst

Page Personnel
Surrey
3 months ago
Applications closed

Related Jobs

View all jobs

Business Data Analyst

Business Data Analyst

Business Data Analyst

Data Analyst

Data Analyst

Senior Data Analyst

Work in a dynamic, supportive, and growth-focused environment. Opportunity to develop strong business analytics and BI skills.

About Our Client

A leading financial services provider supporting the automotive industry, offering innovative financing, leasing, and insurance solutions. They focus on enhancing customer experiences through data-driven decision-making, business intelligence, and advanced analytics.

Job Description

TheBusiness Data Analystwill gather and analyse business requirements, translating them into actionable insights usingIBM Cognos, Power BI, and other BI tools. Key responsibilities include:

Stakeholder Management- Engaging with teams to understand data needs and provide solutions.Data Analysis & Interpretation- Identifying trends, patterns, and insights to drive decision-making.BI Reporting & Visualisation- Creating reports and dashboards to present data effectively.Collaboration with Data Teams- Working alongside data engineers and BI developers to ensure data accuracy and quality.Testing & Documentation- Coordinating user testing, maintaining reports, and ensuring data governance.

The Successful Applicant

The successful candidate will have a strong background inbusiness analysiswith excellentstakeholder managementskills, capable of gathering and translating business requirements into actionable data solutions. They should be proficient inIBM Cognos,Power BI, and advancedExcelskills, with a keen eye for detail and a disciplined approach to analysis and documentation. A proactive and self-motivated individual, they will be comfortable working with cross-functional teams and have the ability to manage time and priorities effectively in a fast-paced environment.

What's on Offer

The successful candidate will receive:

Competitive salaryand benefits package.Hybrid working- 3 days a week in Surrey, offering flexibility. Opportunity to work with cutting-edgeBI toolslikeIBM CognosandPower BI. Exposure to a dynamic,supportive teamin a fast-paced environment.Professional developmentand the chance to grow within the company. Regular1:1 coachingand clear objective setting for career progression.

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.

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

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.