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

Apply Now

Business Analyst (Business Intelligence Team) Data Warehouse Build - REF 595

Interface Recruitment UK
Leeds
6 days ago
Create job alert

A rapidly expanding business that requires the establishing of a BI function to ensure that it drives consistency in reporting and data definitions across the Group as it expands, and ensure that the business is supplied with innovative, relevant and actionable reporting to support a data-driven decision making culture throughout the Group. The BI Business Analyst will support the Business Intelligence team develop its BI Business requirements gathering and elicitation process, create the artefacts needed to build the BI solutions and support the business and stakeholders for their BI experience. The BI Business Analyst will support the BI Team in providing high quality, timely and accurate business analysis across all business functions to enable measured decision making, and support the day to day operations and continued growth of the business.

You’ll be responsible for:

  1. Managing and liaising with business stakeholders, SMEs and senior management
  2. Holding business workshops, stakeholder analysis, working closely with PMO and BI Project Manager
  3. Developing and working with existing artefacts and ensure all processes, business logic, transformation of logic, data definitions and process mapping information is articulated in to the BI artefacts so the business and IT both use and benefit from it
  4. Ensuring robust governance on all BI documentation with security processes adhered to
  5. Ensuring BI documentation does not allow for multiple version of the truth reporting within the business
  6. Preparing As-Is and To-Be gap analysis, create diagrams and demonstrate benefits of To-Be model
  7. Working closely with the data governance team and ensure data governance principles underpin all business process, changes, and new requests
  8. Ensuring BI requirements can be traced and tracked through the development process, and any changes are managed and reflected through all documentation
  9. Ensuring legacy report consolidation and governed decommissioning where appropriate
  10. Working closely with BI Delivery Analysts to ensure reports are used and remain fit for purpose
  11. Constructively challenging stakeholders requests for BI making alternative recommendations

You’ll need to evidence the following qualifications, skills and experience:

  1. Experience of requirements gathering for complete end to end BI solution delivery
  2. Experience of requirements gathering particularly for the data warehouse build
  3. Ability to interpret data to provide insight and direction based on findings
  4. Experience of building logical data models will be desired
  5. Knowledge of BI tools, such as Qlik, SSRS, Business Objects will be desired
  6. Knowledge of Dimensional Modelling – Kimball methodology will be desired
  7. Ability to rapidly understand business processes in detail
  8. Business/Numerical Honours degree or QBE or equivalent
  9. Effective communicator with good organisational and prioritising skills
  10. Advanced Microsoft office skills (Excel, Power Point, etc)
  11. Experience of presenting technical information to non-technical stakeholders
  12. Good understanding of BI development life cycle

The Benefits:

  1. Competitive salary with annual bonus
  2. Contributory pension
  3. 3% flexible benefits - including cycle to work, critical illness, dental insurance, childcare vouchers, travel insurance, dining club, retail discounts and the option to buy up to one week’s worth of holiday subject to start date
  4. Free shuttle bus from Leeds City Centre
  5. Subsidised on-site restaurant
  6. Free on-site gym
  7. Excellent coaching and training


#J-18808-Ljbffr

Related Jobs

View all jobs

Business Data Analyst - Finance

Business Analyst - Business Intelligence

Business Analyst (Data Analytics) - FinTech

Business Analyst (Business Intelligence Team) Data Warehouse Build - REF 595

Business Analyst - Business Intelligence

Business Intelligence Analyst – Microsoft Fabric - SC Cleared

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.