Level: Middle
Reports to: Senior DA
About the Role
As the Middle Business Data Analyst for Studio Operations, you own the day-to-day reporting that tells us how our gaming studios are performing. You build and run the live dash boards yourself, keep the underlying data clean, and turn raw metrics into a clear read on studio health, project health, and team performance. You work independently across defined reporting areas, escalate the risks you spot, and support the Senior Analyst on forecasting and the harder analytical calls. This is the bridge between maintaining the numbers and owning what they mean.
What You'll Do
- Build and run dashboards. Design, build, and maintain live dashboards in our BI platforms,current to the day, without needing them scoped line by line.
- Own defined reporting areas. Take end-to-end ownership of specific studio and project reports, from data pull to final view.
- Turn data into signal. Go beyond the chart. Spot the trend, flag the risk with its impact, and bring it to the Senior Analyst or delivery team with a suggested read.
- Support forecasting. Help build and maintain trend, capacity, and velocity models under the Senior Analyst's direction.
- Keep the data clean. Hold Jira and data hygiene to the agreed standards across your areas, and flag systemic gaps for enforcement.
- Apply AI. Use AI and modern tooling to automate data collection, synthesis, and routine reporting.
What Success Looks Like (First 3 Months)
- You independently own and run a defined set of studio health dash board. accurate and current, with no daily oversight.
- You surface risks early with a clear read on impact, not just the raw number.
- You have contributed to at least one forecasting or trend model that has informed a delivery decision
Must-Have Skills and Experience
- 2–4 years in data analytics, business intelligence, or operational reporting.
- Solid SQL skills, comfortable querying and joining data across structured databases.
- Hands-onbuilding and maintaining dashboards in a modern BI platform (Power BI, Tab Looker / Looker Studio, Metabase, or Grafana).
- Working proficiency in JQL and a solid understanding of Jira data structures.
- Some hands-on Python (pandas) or R for analysis and simple automation.
- Foundational quantitative skills: trend analysis and basic capacity / velocity modelling.
- Able to translate data into a clear, honest read and raise the right risk to the right person.
- Comfortable using AI / LLM tools to speed up analysis and reporting.
Preferred Qualifications (Nice-to-Have)
- Gaming industry experience.
- Exposure to forecasting libraries (Prophet, statsmodels, scikit-learn).
- Familiarity with Agile / SDLC and capacity planning.
- Experience reporting to, or working alongside, senior delivery stakeholders.
