We’re seeking an experienced Data Analyst with specialized expertise in Power BI, Microsoft Fabric, and Databricks. This role involves transforming complex datasets into actionable insights and delivering comprehensive data-driven solutions to support business objectives. You’ll collaborate with cross-functional teams to design, develop, and implement analytics solutions that enhance decision-making and operational efficiency. If you have a track record of using these tools to uncover hidden insights and drive business strategy, we want to hear from you.
Key Responsibilities:
- Design and develop robust analytics solutions using Power BI, Microsoft Fabric, and Databricks.
- Analyze large datasets to identify trends, patterns, and insights; translate these into clear, actionable information for strategic decision-making.
- Create and maintain dashboards and reports in Power BI, ensuring they meet the needs of the business.
- Collaborate with stakeholders across the organization to understand their analytics needs and provide consultative support.
- Manage data workflows and pipelines in Databricks, ensuring efficient data processing and integration.
- Ensure data quality and consistency across all analytical platforms and tools.
- Stay up-to-date with the latest trends and technologies in data analytics and continuously seek ways to improve our analytics capabilities.
Qualifications:
- Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field.
- 3+ years of experience in data analysis, with a strong focus on Power BI, Microsoft Fabric, and Databricks.
- Demonstrated proficiency in SQL and experience with cloud data platforms (e.g., Azure).
- Solid understanding of data modeling, data warehousing principles, and ETL processes.
- Experience with Python or R for statistical analysis is a plus.
- Strong problem-solving skills and the ability to work on multiple projects simultaneously.
- Excellent communication skills, with the ability to present complex data insights in a clear and effective manner.
