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

Apply Now

Business Intelligence (BI) Manager

Arm
Cambridge
2 days ago
Create job alert

Join to apply for the Business Intelligence (BI) Manager role at Arm

Job Overview

We are seeking an experienced and forward-thinking Business Intelligence (BI) Manager to lead our BI team. Successful candidate will be responsible for leading the development and maintenance of data marts, ensuring robust data integration from multiple sources, and delivering trusted business insights through dashboards and reporting solutions. The ideal candidate will have track record of working with Databricks, solid understanding of both Tableau and Power BI, and confirmed leadership skills to guide a team of BI professionals.

Responsibilities

  • Team Leadership: Lead, mentor, and develop engineers, and developers, fostering a culture of teamwork, innovation, and accountability.
  • Data Strategy & Governance: Supervise the design, implementation, and maintenance of data marts sourced from multiple databases, ensuring accuracy, scalability, and performance.
  • Databricks Expertise: Leverage Databricks for data engineering, transformation, and integration tasks; drive procedures for data pipelines and medallion architecture.
  • Reporting & Visualization: Lead the design, deployment, and governance of dashboards and reports, ensuring consistency, usability, and alignment with business needs.
  • Multi-functional Collaboration: Partner with business customers, data engineers, and IT teams to define BI requirements, prioritize work, and align with organizational goals.

Required Skills And Experience

  • Bachelor’s degree or equivalent experience in Computer Science, Information Systems or related field.
  • Demonstrable experience in BI, Data Analytics, or Data Engineering, with proven experience in a leadership/managerial role.
  • Strong expertise in Databricks for data integration, transformation, and optimization.
  • Hands-on experience with both Tableau and Power BI, including dashboard design, governance, and rollout across organizations.
  • Extensive knowledge of data warehousing, ETL/ELT processes, and SQL.
  • Experience managing data from different sources and integrating into unified reporting structures.

“Nice To Have” Skills And Experience

  • Experience applying AI/ML in reporting and analytics.
  • Familiarity with Agile or Lean delivery.
  • Understanding of engineering or project management environments.

In Return

You’ll have the opportunity to shape the BI strategy at scale, leading a high-impact team that drives data-informed decisions across the business. You’ll work with modern platforms like Databricks, Tableau, and Power BI, while enjoying a collaborative environment that supports innovation, professional growth, and leadership development.

Accommodations at Arm

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email

Hybrid Working at Arm

Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility.

Equal Opportunities at Arm

Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues.


#J-18808-Ljbffr

Related Jobs

View all jobs

Business Intelligence Developer

Business Intelligence Analyst (Power BI / SQL / DAX)

Business Intelligence Analyst

Business Intelligence Manager, Transatlantic

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.

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.