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

Apply Now

Business Data Analyst

Portishead
4 weeks ago
Applications closed

Related Jobs

View all jobs

Business Data Analyst

Business Data Analyst

Business Data Analyst - Pricing - Wealth Management

Business Data Analyst - SQL, Tableau

Business Data Analyst - Healthcare, Data, AI

Business Data Analyst, Reporting

Business Data Analyst
Location: Bristol - Agile Working
Contract: 6-month Fixed Term Contract
Salary: £45,000 per annum - pro rata
Hours: 37 hours per week

We are seeking a skilled and driven Business Data Analyst to support the development of reporting capabilities across the Assets and Home Repairs Services of a Housing Association in Bristol. Working closely with the Data & Insight and Assets teams, you will help deliver high-quality, actionable insight that informs strategic and operational decision-making.

Key Responsibilities of a Business Data Analyst:

Develop and deliver standardised, transparent reporting solutions aligned to business requirements.
Support the production of insights for senior leadership, enabling data-driven decision-making.
Work with data management colleagues to identify and address data quality issues.
Contribute to the development of business reporting standards and the enterprise data model.
Provide training, advice and support to managers and staff on reporting tools and analytics.
Essential Requirements:

2-3+ years' experience with Power BI, Tableau, Qlik or similar BI tools.
Strong SQL skills and experience working in Agile development environments.
Excellent communication skills, able to engage with technical and non-technical audiences.
Understanding of Business Intelligence principles and best practice in report design.
Degree in a relevant subject or equivalent professional experience.
Desirable:

Knowledge of social housing and related service functions.
Experience within a commercial insight function (qualitative and quantitative).
Familiarity with asset management or home repairs reporting.
If this Business Data Analyst role is for you then please apply or contact (url removed)

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

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.

Jobs

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.

Jobs

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.

🍪 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.