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Data Analyst, Oura Health Oy, Oulu - Academic Work

Data Analyst

Posted: May 26, 2026
Posted 4 days ago
Last seen in crawl: May 29, 2026 (1d ago)
Application Deadline: November 22, 2026
Remoteness
Role & Management
Role Level:Mid-Level
Job Type
Required Languages

Job Description

This role focuses on transforming complex hardware field data from smart rings into actionable insights. You will take part in guiding hardware development, improving product robustness, and enhancing feature quality, contributing directly to their next generation of products. You are offered A unique opportunity to make a tangible impact on cutting-edge hardware development within a growing, innovative company. A supportive team, contributing to systematic analysis that drives product excellence and innovation. Epassi lunch deduction. Flexible remote work (2 days a week remotely). This position involves deep-diving into hardware-related data from devices in the field. The work includes data processing, advanced statistical analysis, and creating compelling visualizations to understand device performance, component behavior, and signal quality to inform product improvements. Access, clean, and analyze field data using AI/LLM, SQL and Python. Develop visualizations that make complex findings easy to understand. Apply statistical methods to uncover insights and support data-driven decision-making. Translate business questions into technical analyses and clearly communicate results back to stakeholders. Partner with cross-functional teams in a fast-paced, collaborative environment. We are looking for 2+ years of experience in data analysis or data science in a corporate environment. Advanced proficiency in SQL and Python. Demonstrated ability to create clear, compelling data visualizations. Good knowledge of statistical methods for generating practical insights. Someone who is comfortable working in a fast-paced and highly collaborative environment with ambiguity, experimentation, iteration, guided autonomy, and flexibility. It is meritorious if you have good knowledge of AI tools for data analysis automation. Familiarity with a broad range of statistical techniques and good judgment on when to apply them. Experience with AWS tools (e.g. SageMaker, Athena, S3). To succeed in the role, your personal skills are: Social, Orderly, Responsible, Intellectually curious. Our recruitment process This recruitment process is handled by Academic Work and it is our clients wish that all questions regarding the position is directed to Academic Work. Our selection process is continuous and the advert may close before the recruitment process is completed if we have moved forward to the next phase. The process includes two tests: one personality test and one cognitive test. The tests are tools to find the right talent for the right position, to enable equality, diversity, and a fair process.

Company Information

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Other human resources provision
Keilaranta 4, 02150 Espoo
Business ID: 2756351-6
Registered name: Academic Work Finland Oy
Headcount: 2

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Job Details

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