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

Apply Now

Staff Data Analyst

Warner Bros. Discovery
City of London
3 days ago
Create job alert

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Who We Are…

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

We are looking for a highly skilled and versatile Staff Data Analyst to join our EMEA Data & Analytics team supporting HBOMax Streaming. This role blends responsibilities across data analytics and data engineering—ideal for someone who can work across both stakeholder-facing insights and technical data pipeline development. You’ll work closely with stakeholders across business and product teams to understand their needs, translate them into data solutions and provide actionable insights that shape strategy and execution.

Key Responsibilities

  • Liaise with stakeholders across marketing, product, content and operations to gather, clarify and translate business needs into technical data specifications
  • Build and maintain robust dashboards, automated reports and reusable data models using tools such as Looker or Tableau to power self-service analytics and visualisation
  • Design and implement scalable data models that support advanced analytics, customer behaviour analysis, product performance tracking and key KPIs
  • Lead automation efforts and collaborate with data engineers and platform teams to streamline data ingestion, transformation, governance and validation processes
  • Work with large-scale datasets using SQL or Python ensuring accuracy, performance and scalability
  • Communicate complex analytical findings in a clear and compelling way to non-technical audiences, identifying opportunities for improved data collection, quality and processes
  • Mentor team members, promote best practices for data stewardship and develop frameworks that enhance productivity and collaboration
  • Explore new opportunities through creative analytical and engineering methods

Qualifications & Experience

  • Bachelor's degree, MS or higher in a quantitative field such as computer science, data science, engineering, mathematics or statistics with over 7 years of experience in advanced data analytics, data engineering or similar roles
  • Strong expertise in SQL and proficiency in Python or another scripting language for data manipulation, automation and modelling using tools such as dbt and Airflow
  • Skilled in building reliable data models, transforming flawed or changing datasets into consistent outputs and developing reports and dashboards using tools such as Looker, Tableau or Power BI
  • Familiar with cloud-based data platforms such as Snowflake, BigQuery or Redshift and experienced with big data technologies including Spark, Kafka and Delta Lake
  • Background in data science and machine learning with exposure to predictive modelling, statistical methods and experimentation is highly desirable
  • Experienced in managing workflows with Agile practices while leading multiple projects and navigating fast-paced, ambiguous environments with diverse stakeholders
  • Excellent communication and stakeholder management skills with the ability to dissect vague asks and deliver strategic insights in a clear and digestible way
  • Experience in media, streaming or other customer-focused industries is preferred

Hybrid Working - This role is advertised as a Hybrid work model, that combines remote and in-office work, following our current company policy and to be agreed with your Line Manager. Subject to any applicable laws, WBD / your Line Manager reserves the right to change this working agreement where this is essential to business needs and upon reasonable notice to you.

How We Get Things Done…

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.

If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Information Technology
Industries
  • Entertainment Providers


#J-18808-Ljbffr

Related Jobs

View all jobs

Staff Data Scientist - Fraud

Technical Data Analyst

Data Analyst & Continuous Improvement Lead

1st Team Data Analyst

1st Team Data Analyst

Business Data Analyst

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.