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

Apply Now

Data Analyst, Tracking & Business Intelligence

Kobalt Music
London
1 year ago
Applications closed

Related Jobs

View all jobs

Growth Data Scientist/Analyst

Growth Data Scientist/Analyst

Growth Data Scientist/Analyst

Growth Data Scientist/Analyst

Data Scientist

Claims Data Scientist

Kobalt Music: Data Analyst (Royalty Tracking & Business Intelligence)

Data is at the heart of Kobalt’s business strategy and key to unlocking our future growth.

We are seeking an experienced Data Analyst to join the Central Royalty Tracking & Business Intelligence team, which supports Writer and Publisher relations, Finance, Royalties and Copyright stakeholders with data, analytics and insights. You will report directly to the Director of Tracking and BI and be located in our London offices.

You will play a critical role in championing the use of data to deliver revenue growth and identify operational improvements and cost saving opportunities. You will use your analytical skills to effectively support data-driven decision-making, working on a set of varied and strategic projects for our senior leadership. You will build, manage and maintain the tools and assets to empower our business teams with self-serve analytics, measure our operational performance and surface trends and anomalies in payments from our multitude of partners (PRO’s, CMO’s and direct licensees).

To be successful in this role, you will need a high level of organisational and prioritisation skills, as well as a proven ability to quickly adapt to new exciting challenges. You will turn complex business questions into clearly scoped analytical projects. You will be comfortable making sense out of very large datasets, designing and refining crisp interactive dashboards that drive user engagement and data accessibility. 

In your day-to-day, you will take ownership of ad-hoc requests focusing on income and performance tracking, develop comprehensive end-to-end strategic reporting and have the opportunity to mentor junior analysts. 

Come work at the centre of the most transparent and cutting-edge royalty collection engine in the music industry. 

WHAT WOULD YOU DO AS A DATA ANALYST?

You develop and productionise ad-hoc reports using applicable analytics tools that feed business insights on income trends, income behaviour and anomaly detection. You analyse the root cause of income gaps and payment anomalies, and work cross-functionally to resolve them. You support audits by investigating complex audit queries and delivering actionable recommendations and accurate commentary with supporting analysis. You design & build company KPIs and surface them in interactive dashboards. You leverage 3rd party data to augment our business intelligence and operational efficiency. You extract and explore data confidently using Python or R (e.g. forecasting). You communicate with stakeholders across the business to gather requirements and understand business challenges or client specific issues.

THE EXPERIENCE WE ARE LOOKING FOR

Proven experience in a data analytics function working with large amounts of data and/or big data. Advanced Excel and SQL skills required.  Experience with Data visualisation tools (preferably Tableau) and a history of developing interactive and engaging dashboards that allow users to self-serve business insights. Intermediate Knowledge of Python or R. You have an understanding of data science concepts, techniques and methods, modelling, time series analysis and forecasting. You have familiarity with AWS services, e.g. Athena & S3.

A BIT ABOUT YOU

Experience working within Music is preferable but not essential. You are curious to learn about publishing and royalty revenue streams, and its growth among the major digital streaming services (Spotify, Apple,YouTube Music). Excellent communication skills with experience telling compelling data stories and influencing at all levels, including senior leadership and C-suite. Can-do attitude and strong project management capabilities Innovative solution-driven mindset with a keen desire to create, improve, and automate, as well as a high level of attention to detail.

WHAT WE OFFER

Salary Range: Discuss with the Talent Partner.  Hybrid Working.  25 days annually. Additional 4 days for self well being. Christmas Closure.  Half day summer Fridays (July and August).  Health Insurance. 5% Pension Contribution. 

If this sounds like you, then please share your story by filling out the application below. 

To get you in the right mood, have a listento songs by our talented creators, especially curated to get you in the right mood when looking for the next challenge! 

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 to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.