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Stora Enso

Data Analyst, Controlling

Stora Enso

Data Analyst utilizing data to drive profitability for renewable materials company. Collaborating with stakeholders to enhance decision-making through AI-enabled analytics and insights.

Posted 7/3/2026full-timeJönköping • 🇸🇪 SwedenMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Focus on turning data into profitability-improving actions
  • Analyze performance, identify improvement opportunities, and support decisions related to pricing, cost optimization, and resource allocation
  • Engage with stakeholders, ask the right questions, and continuously improve how data and analysis are used to support profitable business outcomes
  • Design structured datasets and models together with IT
  • Analyze financial and business data to identify trends, drivers, and deviations
  • Explore and apply AI and advanced analytics tools to improve efficiency, quality, and insight
  • Ensure data quality, consistency, and “single source of truth” across reports and forward looking analyses
  • Build, maintain, and continuously improve reports and dashboards for decision-making
  • Collaborate closely with controllers and business stakeholders to understand their needs and translate them into meaningful analysis
  • Support controllers with deeper analysis, scenario modelling, and ad hoc business questions
  • Communicate insights clearly and confidently to non-financial stakeholders
  • Identify opportunities to automate recurring analyses and reporting

Requirements

What you’ll need
  • Relevant academic background ( e.g. finance, economics, data, engineering, or similar)
  • Initial experience and/or strong interest in data analysis, reporting, or finance, with practical experience or curiosity towards modern AI tools
  • Experience with BI tools ( e.g. Power BI), Excel, and data handling
  • Competence in AI-assisted analytics and vibe coding, enabling fast experimentation, insight generation, and data tool development, with a strong foundation in SQL and Python
  • Ability to interact confidently with controllers and business stakeholders, and explain data-driven insights in a clear and structured way
  • Capability and proof of use-cases with AI, automation, and new analytical tools
  • Analytical mindset with a willingness to challenge numbers and ask “why”
  • Structured, proactive, and collaborative way of working
  • Fluency in English

Benefits

Comp & perks
  • Diverse working culture
  • Support for physical and mental wellbeing

ATS Keywords

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Hard Skills & Tools
Data AnalysisFinancial AnalysisSQLPythonExcelBI ToolsData HandlingScenario ModellingAutomationVibe Coding
Soft Skills
Analytical MindsetProactive CollaborationEffective CommunicationStakeholder EngagementCuriosity