Copy of Power BI / Data Analyst (m/f/d)

Your Career

We are seeking a talented and driven Power BI/Data Analyst to join our dynamic team. In this role, you will utilize your expertise in data visualization and analytics to turn complex datasets into actionable insights and share them with stakeholders across the organization. If you are passionate about data and have a knack for revealing the story behind the numbers, we want to hear from you!

Your profile

• Proven experience with Power BI, including creating dashboards, data models, and DAX for complex calculations.
• Proficient in SQL with the ability to extract and manipulate data from Snowflake.
• Strong analytical skills and a solid understanding of statistical analysis and data manipulation techniques.
• Excellent communication skills for conveying complex insights clearly to diverse audiences.
• Strong business acumen and ability to align data analysis with organizational strategy.
• High attention to detail to ensure data accuracy and integrity.
• Experience in managing multiple projects, with strong organizational and project management skills.

Why us?

Your responsibilities

Key Responsibilities:

• Data Collection and Management:

  • Collect and manage data from Snowflake and other sources ensuring accuracy and reliability.
  • Clean and preprocess data to prepare it for analysis.

• Data Analysis:

  • Analyze complex datasets using statistical methods and data modeling techniques.
  • Develop insights from data that contribute to strategic decision-making and business improvement.

• KPI Visualization and Reporting:

  • Create and maintain complex KPI visualizations using Power BI that provide clarity and insights into business functions.
  • Develop interactive dashboards and generate detailed reports to communicate findings.

• Collaboration and Communication:

  • Collaborate with cross-functional teams to align analysis efforts with business needs.
  • Present data-driven insights to both technical and non-technical stakeholders.

• Continuous Improvement:

  • Stay current with the latest tools and trends in data analytics and visualization.
  • Identify opportunities to enhance existing processes and improve data analysis methodologies.