Data Analyst, Wärtsilä

Academic Work Finland Oy

Uusimaa

Hybride

EUR 55 000 - 75 000

Plein temps

Il y a 3 jours
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Résumé du poste

Academic Work Finland Oy is seeking a data governance-oriented professional to link business and IT, translating business ideas into technical data solutions. You will support data governance, build Power BI reports, and map data flows as part of the digitalisation journey.

The role emphasizes collaboration with business teams and PMO, with responsibilities across data preparation, quality management, and potentially AI-enabled improvements.

Qualifications

  • Some relevant work experience in data field.
  • Academic background in IT.
  • Advanced knowledge of Excel, Power BI, data visualization, and reporting.
  • Good understanding of data preparation, validation, and quality management.
  • Basic knowledge of SQL and relational data concepts.
  • Familiarity with Azure Data Platform, Databricks, Snowflake, or equivalent cloud technologies.
  • Professional proficiency in English.
  • Strong communication skills to act as a translator between IT and business teams.

Responsabilités

  • Develop and maintain Power BI reports and dashboards.
  • Coordinate activities between business teams, project teams, and IM resources.
  • Collect, analyse, and present data to support decision-making and portfolio management.
  • Document and improve business processes, reporting practices, and ways of working.
  • Monitor data quality against common KPI definitions and data management practices.
  • Identify and support automation and AI-enabled improvement opportunities.

Connaissances

Power BI
Excel
Data visualization
Reporting
English proficiency

Formation

Academic background in IT

Outils

Azure Data Platform
Databricks
Snowflake

Description du poste

About the role

In this new role, you will act as a crucial link between business and IT, helping to translate business ideas into technical data solutions. You will support data governance, build Power BI reports, and map current data flows. This position is ideal for a curious, self-driven individual eager to learn and make an impact on digitalization journey.

Work tasks
  • Coordinate activities between business teams, project teams, and IM resources
  • Support PMO digitalisation, process improvement, and data-driven working methods
  • Collect, analyse, and present data to support decision-making and portfolio management
  • Document and improve business processes, reporting practices, and ways of working
  • Monitor data quality against common KPI definitions and data management practices
  • Identify and support automation and AI-enabled improvement opportunities
  • Develop and maintain Power BI reports and dashboards
We are looking for
  • Some relevant work experience in data field
  • Academical background in IT
  • Advanced knowledge of Excel, Power BI, data visualization, and reporting
  • Good understanding of data preparation, validation, and quality management
  • Basic knowledge of statistical analysis and generative AI tools
  • Professional proficiency in English
  • Strong communication skills to act as a translator between IT and business teams
It is meritorious if you have
  • Basic knowledge of SQL and relational data concepts
  • Familiarity with Azure Data Platform, Databricks, Snowflake, or equivalent cloud technologies
  • Prior experience in industrial, manufacturing, or energy sector environments
Other information

Start: As soon as possible

Employment period: Permananet contract with Academic Work, a possibility to be recruited to Wärtsilä later on

Location: Preferably Vaasa. Helsinki or Turku are also possible but occasional visits to Vaasa are expected

Our recruitment process

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.

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