At Supercell, Analytics is not a support function – we build trust at scale. Our work underpins decisions that shape our games, our player experience, and the long-term health of the business.
This is a newly created role with end-to-end ownership of one of the company’s most critical data domains: revenue and financial data. As Supercell has grown and our virtual economies have become more complex, the need for clear ownership, strong partnership with Finance, and predictable, well-run financial data processes has become essential.In this role, you’ll take long-term responsibility for finance-facing analytics. You’ll ensure revenue data is robust, well understood, and trusted across the company, while bringing structure and predictability to areas such as monthly closes, audits, and external requests. You’ll work closely with Finance & Accounting, game teams, and the Supercell Store, acting as a senior bridge between Analytics and Finance.
You’ll be part of Central Analytics Engineering, the team that owns Supercell’s core data models, including revenue, retention, and reporting consistency. The team works across games and functions to build durable data foundations for the company, and this role plays a key part where business impact is highest.
What You'll Be Doing
- Owning revenue, revenue deferral, and revenue recognition data pipelines end-to-end.
- Acting as the primary analytics counterpart for Finance & Accounting on game data.
- Owning the game data side of monthly financial closes and supporting external audits.
- Designing, maintaining, and evolving finance-facing data models used across the company.
- Mapping and documenting revenue data processes, identifying gaps and risks.
- Redesigning and stabilising revenue deferral pipelines for long-term sustainability.
- Partnering with game teams and the Supercell Store on how digital goods are tracked and recognised.
- Establishing clear collaboration structures, timelines, and expectations with Finance.
- Improving predictability during busy cycles such as closes and audits through planning and ownership.
- Raising trust in revenue data through improved quality, documentation, and communication.
What You Have
- Strong experience as an Analytics Engineer or Data Engineer working with production data.
- Confidence owning complex, business-critical data models and pipelines.
- Solid SQL and Python skills, with experience building and maintaining data pipelines.
- A business-oriented mindset and comfort working with finance or accounting concepts.
- The ability to explain complex topics clearly to both technical and non-technical partners.
- A strong sense of ownership for work that directly impacts the business.
Would Be Nice if You Also Have
- Experience with revenue deferral or revenue recognition.
- Familiarity with digital goods, games, or virtual economies.
- Understanding of how net revenue is derived in digital businesses.
- Experience collaborating closely with Finance or Accounting teams.
- Exposure to modern data stacks such as Databricks or Spark.
Where You'll Be
This role will need to be based in Helsinki, we fully support with relocation.