Group Data & Analytics Lead - Studentwork Finland Oy - Helsinki, Finland
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Job Description
Clevry builds the platform for skills-first hiring, combining psychometrics and hiring technology to help organisations make better decisions and unlock human potential at scale. Our Platform business is growing fast, with subscription ARR up over 70% year-on-year, and we're building the investor-grade reporting infrastructure to match that growth. Were looking for a hands-on Group Data & Analytics Lead to take our data and analytics capability into its next chapter. Reporting directly to the Group CFO, you'll evolve the reporting models, data flows and analytics infrastructure that support decision-making across our international SaaS Platform business and our staffing & recruitment operations, together serving customers in over 30 countries. You'll work directly with the CFO, CEO and Product leadership. This is a senior individual contributor role for someone who wants to stay close to technical execution and own an important group-level capability, rather than step into people management. You'll also actively explore how AI and agents can strengthen reporting, forecasting and business operations. What you'll do - Set the technical direction for Clevry's data and analytics architecture as the group scales. - Design, build and maintain Power BI reports, dashboards, semantic models, DAX measures and data models. - Develop reporting data flows and API-based data extraction from core business systems, including HubSpot and Clevry's own platform. - Own accuracy and consistency of group reporting, supporting Finance as the single source of truth. - Build scalable reporting for core metrics: ARR, revenue, pipeline, cost, customer activity, product usage and delivery performance. - Translate financial, commercial and operational data into clear insight and recommendations for decision-makers. - Support the Group Controller and Finance team on FP&A: budgeting, rolling forecasts, scenario analysis and long-range planning. - Explore and implement practical applications of AI and agents in analytics, forecasting and business operations. - Contribute to data governance, KPI definitions and reporting standards.
Company Information
Työmarkkinatori is Finland's official public employment service portal, operated by the Ministry of Economic Affairs and Employment (TEM). It lists job openings from across the Finnish public sector, municipalities, and employers who use the government's recruitment infrastructure.
We include Työmarkkinatori listings so that JobCrawls covers the full breadth of the Finnish job market — including roles that only appear through official government channels and would otherwise be missed.
tyomarkkinatori.fiJob Details
Responsibilities
- Define the technical direction for Clevry's data and analytics architecture as the group grows.
- Design, build, and maintain Power BI reports, dashboards, semantic models, DAX measures, and data models.
- Develop reporting data flows and API-based data extraction from core business systems, including HubSpot and Clevry's platform.
- Ensure accuracy and consistency of group reporting, supporting finance as the single source of truth.
- Build scalable reports for key metrics: ARR, revenue, pipeline, costs, customer activity, product usage, and delivery performance.
- Translate financial, commercial, and operational data into clear insights and recommendations for decision-makers.
- Support FP&A activities: budgeting, rolling forecasts, scenario analysis, and long-term planning.
- Explore and implement AI and agent applications in analytics, forecasting, and business operations.
- Contribute to data governance, KPI definitions, and reporting standards.
Requirements
- Strong analytical thinking: able to go from business question to model to insight, independently.
- Hands-on experience with modern data and analytics tools, including Power BI (DAX, Power Query), ETL/ELT, APIs, and semantic modeling.
- Genuine curiosity about AI, agents, and their applications in analytics and reporting.
- Clear communication skills, able to explain data to both technical and non-technical stakeholders.
- Experience with Excel alongside Power BI for financial modeling and ad hoc analysis.
- Experience in SaaS metrics, SQL, Azure, Microsoft Fabric, product analytics, or CRM data is beneficial but not required.
