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

Apply Now

Art Production Coordinator: Data Analytics

Rockstar Games
Leeds
1 week ago
Create job alert

At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar Leeds is on the lookout for a Production Coordinator that specializes in Data Analytics to join our Art Production department and assist in making some of the most highly respected and widely recognized AAA titles in video games. This is a full-time, permanent and in-office position based in Rockstar’s unique game development studio in the heart of Leeds, England.


What We Do
  • Production Coordinators work to improve global communication between various disciplines of Art, Code and Design to ensure there is a clear workflow, with transparency of moving parts, to our fellow developers.
  • We proactively use knowledge and experience to develop data models, reports, and analyses to identify and solve problems before they affect our development teams.
  • We collaborate with artists, leads and directors to schedule, track and complete team goals.

Responsibilities
  • Provide production support to the Art Production team.
  • Collaborate in the design, delivery and maintenance of Power BI dashboards.
  • Use SQL and Snowflake to retrieve data for our reporting systems.
  • Create and maintain effective production reports and documentation.
  • Proactively identify and resolve production issues.
  • Maintain an active awareness of team goals and timelines.
  • Assist in tracking, prioritising and scheduling tasks using our in-house project management tools.

Requirements
  • Degree or equivalent experience in Business, Statistics, Computer Science, or other related technical or project management subjects.
  • 2+ years of direct experience designing data pipelines and transforming data into actionable insights through Power BI (or similar), SQL, and Snowflake.
  • Advanced knowledge of Microsoft Excel.
  • Experience with Python, MongoDB and SQL.
  • Outstanding communication and interpersonal skills, with experience hosting meetings and presentations.
  • Experience contributing to the maintenance of a project plan and schedule with a proactive approach to problem-solving.
  • Capable of working closely in a team setting and cross departmentally.
  • Eagerness to learn new workflows and software tools across all aspects of the development process.
  • Strong organisational and multi-tasking skills.

PLUSES
  • Experience with R, Shotgrid, Figma or Bug Tracking software i.e. (Monday, Jira, Hansoft).
  • Knowledge of Project management methodologies i.e. (Scrum, Kanban, Six Sigma).
  • Production experience working in games, entertainment, tech or similar creative industry.

How To Apply

Please apply with a CV and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.


Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please contact the Human Resources Department.


If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.


#J-18808-Ljbffr

Related Jobs

View all jobs

Art Production Coordinator: Data Analytics

Director - Quantitative Systems Pharmacology

Associate Director, Quantitative Systems Pharmacology

Director - Quantitative Systems Pharmacology

Data Scientist

Data Scientist, Silicon and Systems Group Edge AI

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.