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

Apply Now

BI Data Analyst

Manchester
19 hours ago
Create job alert

We're looking for a talented BI Data Analyst to join our Customer Insights team on a 3-month contract. Reporting to the Insights Manager, you'll play a pivotal role in turning data into actionable insights that shape customer strategy and operational performance. You'll help evolve our BI suite, deliver executive-level reporting, and ensure that our analysis reflects the voice of the customer across the business.

Key Responsibilities

Lead the design, delivery, and continuous improvement of BI reporting and dashboards (Power BI essential).
Partner with internal stakeholders to gather and document reporting requirements.
Develop and maintain key KPI reports, from daily operational performance to forecasting projections.
Build and enhance data models, ensuring accuracy, efficiency, and scalability.
Create and automate reporting processes using Excel (advanced) and VBA macros.
Drive automation and integration between BI tools and the CRM system.
Produce business-critical reporting such as Executive Dashboards and insight packs.
Identify and correct inefficiencies in existing reporting processes.What You'll Bring

Proven experience in BI development and data analysis roles.
Expertise in Power BI, including DAX, data modelling, and visualisation best practices.
Advanced proficiency in Excel, including pivot tables, macros, VBA, and data forecasting/modelling.
Strong analytical mindset and meticulous attention to detail.
Excellent stakeholder management and communication skills.
Ability to work independently and collaboratively in a fast-paced environment.
Adaptability to evolving business requirements and data challenges.Key Relationships

Customer Leadership Teams (SLT & WLT)
Customer Business Partners and Delivery Managers
Customer Business Analysts and Business SupportRullion celebrates and supports diversity and is committed to ensuring equal opportunities for both employees and applicants

Related Jobs

View all jobs

BI & Data Analyst - Power BI

BI & Data Analyst

SAP Data Analyst

Power BI Data Analyst

Power BI Developer / Data Analyst

Trainee Data Analyst Associate

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.

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.

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.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.