Data Analyst

Responsibilities

• Develop and maintain high-quality reports and dashboards using Microsoft Power BI
• Gather and analyze technical requirements from stakeholders across the organization
• Develop and maintain data models to support analytics, reporting, and self-service BI
• Provide ongoing administration, tuning, and support for Power BI and related tools
• Establish and promote standards for report design, data modeling, and data visualization
• Collaborate with cross-functional teams to ensure data integrity, quality, and alignment across systems and reporting solutions
• Analyze complex datasets to identify trends, risks, and opportunities, delivering actionable insights to business leaders
• Support and influence data governance, documentation, and data quality initiatives
• Contribute to the design and evolution of data architecture, including data transformations and pipeline development using tools such as dbt or similar frameworks
• Mentor and guide less experienced analysts, fostering best practices in BI development and data modeling
• Stay current with emerging trends and technologies in business intelligence, data engineering, and analytics

Qualifications

• Bachelor’s Degree in Computer Science, Information Technology, or related field, or an equivalent combination of education and experience
• 5+ years of relevant data analyst experience
• Advanced experience building scalable, insight-driven dashboards and reports using Microsoft Power BI or similar business intelligence tools, including performance optimization and troubleshooting
• Strong understanding of data visualization best practices, including user experience (UX) design and storytelling with data
• Experience developing and maintaining standards for report design, performance, and usability
• Solid knowledge of data modeling techniques, including dimensional modeling and semantic layer design
• Strong analytical skills with the ability to interpret complex datasets and translate findings into actionable insights
• Proficiency in SQL for data extraction, transformation, and analysis.
• Working knowledge of data warehousing concepts, including ETL/ELT processes, data pipelines, and layered data architectures.
• Experience with data transformation tools (e.g., dbt)
• Familiarity with cloud-based data platforms (e.g., Azure, AWS, Snowflake)
• Understanding of version control tools (e.g., Git) and collaborative development practices is a plus

About Rural Mutual Insurance

Rural Mutual Insurance is a leading property and casualty insurance company based in Wisconsin, known for its financial strength and longevity in the industry. The company offers a welcoming work environment with competitive benefits including health, dental, life, LTD, and vision insurance, as well as a matching 401(k) plan and generous time off.