Business Intelligence Manager

Meon Vale
10 months ago
Applications closed

Related Jobs

View all jobs

Business Development Manager - Subs + Consultancy for Enterprise IT / IoT / AI

Facilities Lead (Mechanical and Electrical)

Lead Mechanical Design

Mechanic

Mechanical Structures Engineer

Mechanic

We are looking for a highly motivated Business Intelligence Manager to join our dynamic team. You will oversee the delivery and management of a robust scalable business intelligence platform and its supporting systems to ensure that they meet the business goals of the organisation. Defining how the data will be stored, accessed, consumed, integrated, and managed by different data entities and IT systems, as well as any applications using or processing that data in some way.
As part of our core values, Unimetals offers an inclusive and dynamic environment and we welcome people from a variety of different backgrounds.
Your Key Responsibilities

  • Lead the architecture, design, and development of the business intelligence platform whilst implementing/maintaining compliance with the business intelligence and analytics strategy
  • Responsible for the training, coordination and evaluation of cross-departmental business analysts and business partners
  • Collaborate with key stakeholders to select appropriate platforms and services to support the business intelligence strategy
  • Interpret and co-ordinate the organisation’s data needs whilst making sure that they are designed in accordance with the appropriate data architectures and strategy
  • Define and manage the technical principles, vision, and standards for the data warehouse/data lake ensuring the design can scale to handle additional data and business demands
  • Manage and monitor the work of vendor partner resources and the Database Administrator
  • Maintain knowledge of external and internal data capabilities and trends, facilitating the evaluation of vendors and products including topic-specific deep dives to address business urgencies
  • Establish and manage governance protocols to support the business intelligence strategy
  • Continually review and monitor the integrity, security and service continuity of data systems and their dependencies
  • Hands-on management of datasets, lifecycles, access security and policies
  • Create documentation and presentations, lead discussions with business and technology owners
  • Liaise with the Network Manager to ensure Disaster Recovery requirements can be met including any assigned recovery time and recovery point objectives
  • Perform such other duties as the Company may from time to time reasonably require
  • Comply with all Company policies related to Code of Conduct, Environmental, Health and Safety and Community
    About You (Key Skills/Competencies)
  • Minimum of 5 years of working experience in a data related role
  • Proficiency in SQL with familiarity of associated data modeling tools
  • Deep understanding of data management fundamentals and data storage principles
  • Understanding of systems architecture and ability to design scalable, robust systems
  • Comprehensive understanding of distributed computing environment concepts
  • Competency with Microsoft development tools and technologies
  • Knowledge of data security and privacy practices
  • Knowledge of cloud computing and experience with platforms like Amazon Web Services (AWS) or Microsoft Azure beneficial
  • Strong analytical and problem-solving abilities
  • Ability to communicate effectively with both technical and non-technical stakeholders

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.

How Many Edge Computing Tools Do You Need to Know to Get an Edge Computing Job?

If you’re trying to start or grow a career in edge computing, it can feel like you’re navigating a maze of tools, frameworks and platforms — Kubernetes, Docker, IoT frameworks, AWS Greengrass, Azure IoT Edge, OpenShift, TinyML toolkits, networking orchestration, real-time streaming frameworks, and on it goes. Scroll job boards and community forums and it’s easy to conclude that unless you master every buzzword imaginable, you’ll never get a job. Here’s the honest truth most edge computing hiring managers won’t necessarily say out loud: 👉 They don’t hire you because you know every edge computing tool — they hire you because you can solve real system problems using the tools you know. Tools matter, yes — but only when they support clear outcomes: reliable systems, performance at scale, secure edge deployments and real business value. So how many edge computing tools do you actually need to know to secure a job? For most edge computing roles, the answer is fewer than you think — and a lot clearer when sorted by fundamentals and roles. This guide shows you what matters, what doesn’t, and how to focus your time wisely so you come across as capable, confident and employable.

What Hiring Managers Look for First in Edge Computing Job Applications (UK Guide)

In today’s fast-evolving tech landscape, edge computing is one of the most sought-after fields — blending distributed systems, embedded systems, networking, cloud, IoT, data and real-time processing. But that also means hiring managers are highly selective. They scan applications fast and look for signals of relevance, impact, technical depth and real-world delivery long before they read every line. This guide demystifies what hiring managers in edge computing look for first in your application — so you can tailor your CV, portfolio and cover letter to jump out of the stack. Whether you’re targeting edge systems roles, embedded IoT edge jobs, edge-native data roles, edge platform engineering or edge-AI positions, this checklist will help you position your experience in a way hiring managers can trust immediately.

The Skills Gap in Edge Computing Jobs: What Universities Aren’t Teaching

Edge computing is rapidly moving from niche concept to critical infrastructure. As organisations deploy connected devices, sensors, autonomous systems and real-time analytics, processing data closer to where it is generated has become essential. From smart cities and manufacturing to healthcare, transport, defence and telecommunications, edge computing underpins systems where latency, reliability and resilience matter. Demand for edge computing skills across the UK is rising steadily — yet employers consistently report difficulty finding candidates who are genuinely job-ready. Despite growing interest and academic coverage, universities are not fully preparing graduates for real edge computing jobs. This article explores the edge computing skills gap in depth: what universities teach well, what they consistently miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build sustainable careers in edge computing.