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

Apply Now

Business Intelligence Lead - 9 Month FTC

Fuse
City of London
1 week ago
Create job alert
Business Intelligence Lead - 9 Month FTC

London

About the Role:

Role Summary

We are looking for a Power BI Lead to join our fast-paced, data-driven environment at Annalect. This is a pivotal role supporting one of our key clients. You will lead the development and optimisation of enterprise-grade dashboards that drive strategic media decisions across multiple markets and brands.

You’ll be the central point of contact for delivering all reporting across global media activation hubs, working with both onshore stakeholders and offshore development teams to ensure consistent, scalable, and accurate reporting solutions.

Key Responsibilities

  • Lead the design, development, and deployment of Power BI dashboards used across global media activation hubs.
  • Translate business requirements into clear, actionable reporting solutions that enable the client and media agency teams to make data-informed decisions.
  • Ensure data consistency and reporting integrity across multiple markets, brands, and campaign types.
  • Collaborate closely with offshore/global resource teams to manage development pipelines, documentation, and quality assurance.
  • Own the ongoing maintenance, enhancement, and troubleshooting of dashboards once live, ensuring long-term value and stability.
  • Act as a bridge between client stakeholders, internal data teams, and external development partners.
  • Define and enforce reporting standards and best practices to drive excellence in dashboard design and data governance.
  • Mentor junior analysts and Power BI developers, both in-house and offshore, to ensure high-quality delivery and upskilling across the team.
  • Proactively identify opportunities to evolve dashboards in line with changing business needs or media strategies.

Ideal Candidate

  • Proven experience leading Power BI delivery in complex, enterprise environments — ideally within media, advertising, or digital ecosystems.
  • Demonstrated ability to manage multi-brand, multi-market reporting structures at scale.
  • Advanced expertise in Power BI, DAX, Power Query, and building efficient, user-friendly data models.
  • Experience working with offshore/global development teams, with strong project coordination and quality assurance capabilities.
  • Comfortable taking ownership of end-to-end dashboard lifecycle, including post-launch maintenance and evolution.
  • Strong communication skills — able to simplify complex data for non-technical stakeholders.
  • Familiarity with media KPIs (e.g. impressions, reach, frequency, CPM) is a strong advantage.
  • Experience working with cloud platforms and data tools such as AWS, Azure, BigQuery, or Snowflake is desirable

About Annalect EMEA:

Omnicom Media Group Europe (OMG EMEA) is the media division of Omnicom Group Inc., headquartered in London with offices in Manchester and Newcastle.

The Annalect EMEA team at OMG EMEA is the data, technology, and analytics division. We help CMOs and their teams harness data, technology, and advanced analytics to grow their brands.

We have built a variety of innovative product and specialist service solutions for clients and agency partners.

We build and maintain the Omni platform which gives agency and client teams access to these capabilities as well as the ability to integrate and combine their own data and technology with Omni. Omni has over 30,000 active users and is recognized in the industry as a leading marketing platform. We continuously innovate the platform to ensure our clients stay ahead of their competitors in data driven marketing.

Our team of Annalectuals is growing rapidly and are based in over 80 countries around the globe, supported by global and regional team hubs in NY, London, Singapore, Gurgaon, Bangalore, and Hyderabad.

The EMEA team is responsible for global and regional client relationships led from London, as well as the development of new data-driven marketing capabilities. They form part of our global team and collaborate closely with local market Annalect teams across EMEA as well as regional Omnicom agency partners.

Flexible Working

At Omnicom Media Group, we are committed to supporting flexibility for our people while fostering collaboration, innovation, and teamwork. We have a hybrid working model (three days in the office, two working remotely), to ensure that we meet the needs of both our people and our business, balancing the benefits of in-person connections with the flexibility of remote working. Our standard working hours are 9:30 – 17:30, but we offer the ability to flex around core hours of 10:30 – 16:30 to give our people flexibility on how they manage their working day, whether that’s in the office or working remotely.

Equal Opportunities

OMG UK is an equal opportunities employer and welcomes applications from all qualified candidates. We are committed to diversity, equity, and inclusion in the workplace and strive to create an environment where everyone feels valued and respected.


#J-18808-Ljbffr

Related Jobs

View all jobs

Business Intelligence Lead

Business Intelligence Lead

Business Intelligence Lead

Business Intelligence Lead

Business Intelligence Lead

Business Intelligence Lead - 9 Month FTC

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.