Business Intelligence Manager

Radley James
Greater London
2 months ago
Applications closed

Related Jobs

View all jobs

Business Intelligence Manager

Business Intelligence Contractor

BI / Datawarehouse Lead / Manager – Home / Prestigious Client

Business Intelligence Analyst

Senior Business Intelligence Engineer EU Hardlines CX IDQ Marketing

Business Analyst - Assistant Manager

We are looking for an experienced Business Intelligence Technical Lead to drive the development and optimization of data integration and reporting solutions. This role involves overseeing system performance, ensuring security compliance, and providing technical leadership for a globally distributed team. The ideal candidate will have strong technical expertise, leadership skills, and a proactive approach to improving business intelligence capabilities.

Key Responsibilities

  • Lead the design, implementation, and management of business intelligence solutions
  • Provide technical leadership to support data integration, analytics, and reporting initiatives
  • Oversee system performance, security, and compliance, ensuring adherence to industry regulations
  • Collaborate with stakeholders across multiple regions to align BI strategies with business goals
  • Manage platform stability and business continuity for 24/6 operations
  • Drive innovation and best practices in data management and business intelligence
  • Support business users by diagnosing and resolving technical issues in BI platforms

What We’re Looking For

  • Proven experience in business intelligence and data engineering
  • Strong background in data integration, reporting tools, and cloud-based BI solutions
  • Deep understanding of regulatory compliance (e.g., SOX, GDPR) and risk management
  • Experience leading technical teams and collaborating with global stakeholders
  • Ability to drive strategic initiatives while maintaining operational excellence

This is an opportunity to take on a leadership role in a fast-paced, data-driven environment where you can shape the future of business intelligence. Apply now to be part of a forward-thinking team.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Investment Banking

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

Data Science Jobs in the Public Sector: Exploring Opportunities Across GDS, NHS, MOD, and More

Data science has emerged as one of the most influential fields in the 21st century, transforming how organisations make decisions, improve services, and solve complex problems. Nowhere is this impact more visible than in the UK public sector. From the Government Digital Service (GDS) to the National Health Service (NHS) and the Ministry of Defence (MOD), government departments and agencies handle vast amounts of data daily to support the well-being and security of citizens. For data enthusiasts looking to make a meaningful contribution, data science jobs in the public sector can offer rewarding roles that blend innovation, large-scale impact, and societal benefit. In this comprehensive guide, we’ll explore why data science is so pivotal to government, the roles you might find, the skills needed, salary expectations, and tips on how to succeed in a public sector data science career.

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.