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Data Analyst

1 month ago


Stockholm, Stockholm, Sweden Digitalenta Full time

Are you passionate about transforming complex data into clear, compelling insights? An industry leading company in Stockholm is looking for a Data Analyst (Data Visualization) to support their data-driven decision-making. In this role, you will ensure data quality, optimize data models, and create impactful visualizations.

The assignment is full-time and for a period of 1 year with start 1st of April 2025.

About the role

As a Data Analyst specializing in visualization, you will play a key role in ensuring data accuracy, optimizing data models, and providing actionable insights. You will work closely with stakeholders to analyze data, build dashboards, and support strategic decision-making. Your expertise in Power BI, SQL, and GCP/BigQuery will be essential in shaping the company's data landscape.

Responsibilities
  • Perform data quality checks across different data sources to ensure consistency and accuracy.
  • Optimize and secure data model logic to support effective analysis.
  • Conduct ad hoc data analysis to answer business questions and provide insights.
  • Develop data visualizations and dashboards using Power BI for clear and impactful reporting.
  • Support data strategy and modeling to improve data accessibility and usability.
About you

You are a mid-level Data Analyst with a strong background in data visualization, analytics, and modeling. You enjoy working with large datasets, ensuring data integrity, and presenting insights in an engaging way. You have experience collaborating with various teams and can translate complex data into understandable reports for stakeholders.

Experience and skills
  • Proven experience with data visualization tools, especially Power BI.
  • Strong knowledge of SQL for querying and analyzing data.
  • Experience working with Google Cloud Platform (GCP) and BigQuery.
  • Understanding of data modeling and data strategy to optimize reporting and insights.
  • Ability to work independently and handle ad hoc analysis requests efficiently.
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