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

Apply Now

Business Intelligence Analyst

Wren Kitchens
Barton-upon-Humber
3 days ago
Create job alert

Overview

About The Role We are currently looking for a dedicated individual to work within the central Business Intelligence Team. A passion for providing an exceptional level of support is essential and you must have a proactive approach to work, remaining professional and confidential always. We are currently consolidating and upgrading our reporting infrastructure. We're building a data warehouse to centralise and standardise data across the organisation, moving away from our legacy reporting tool. This project includes 64 reporting areas and over 500 unique reports, many with multiple versions, that need to be streamlined into concise, filterable Power BI reports. As a Business Intelligence Analyst, you'll be responsible for consolidating these reports in Power BI, leveraging both your DAX skills and knowledge of MySQL and Databricks SQL to build insightful, high-performance reports. Since our new data warehouse will reside in Databricks, experience with Databricks SQL is crucial for defining, querying, and optimising datasets to ensure smooth integration with Power BI. You'll also need to apply Row-Level Security (RLS) in Power BI to control data access and implement scheduling to ensure reports are updated in real-time.

Responsibilities

  • Work with the BI Manager and the BI Team to gather requirements and develop Power BI reporting to replace 300+ Excel Reports
  • Work with the BI Manager to test and refine Datasets to be used in our Power BI Reports within the current Datawarehouse project
  • Work with the Sr BI Analyst to review and maintain the structure of our existing Suite of BI Reports — Workspaces, Apps, Permissions, Formats, etc.
  • Assist the BI Manager with DWH requirements and testing of delivered data for YOY reporting which will be delivered by the whole team.

Qualifications

  • Strong IT skills; advanced Excel (VBA desirable) and Power BI experience a plus.
  • Experience with SQL (MySQL/Databricks) is advantageous
  • Ability to analyse trends, produce accurate reports, and maintain data integrity.
  • Professional, consistent, and meticulous in all work.
  • Confident communicator who can present findings clearly to all audiences.
  • Self-reliant, inquisitive, and results-driven, with a collaborative mindset.
  • Experience in the Kitchen/Furniture Retail sector is desirable.

Benefits

  • Life Assurance after 2 years' service
  • Access to Benenden health and discount platform after 1 year of continuous service
  • Personalised progression plan with clear career opportunities
  • Individual training budget for personal development
  • EE discount
  • Staff discount on purchasing a kitchen/bedroom after 1 year of continuous service
  • Eye Care Vouchers
  • Refer a Friend Scheme
  • Free onsite gym


#J-18808-Ljbffr

Related Jobs

View all jobs

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst - Financial Services

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.

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.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.