Senior BI Analyst: AI-Driven Insights & Governance

Principal Financial Group; Des Moines (IA); Hybrid; USD 85,000 - 134,000; Full time

Benefits offered by this job

Pension Eligible

Flexible Time Off

Job summary

Principal Financial Group is seeking a Business Intelligence Analyst III for the RIS Data & Analytics team in Des Moines, IA. This role focuses onPower BI and SAS, with exposure to other BI platforms, SQL, and DAX to deliver insights and shape governance.

You will own reporting solutions, collaborate with leaders, and explore AI-enabled analytics while supporting ad hoc analytics needs and data literacy initiatives.

Qualifications

• Bachelor’s degree or equivalent experience.
• 4+ years of experience in business intelligence, analytics, or reporting.
• Proficiency in Power BI and familiarity with other BI platforms such as Tableau, Qlik, Looker, Domo, or Sisense.

Responsibilities

• Develop and maintain dashboards, reports, and data visualizations that enable business decision-making.
• Serve as a BI subject matter expert, recommending improvements to reporting tools, processes, and analytics capabilities.
• Participate in enterprise BI governance and tool evaluation efforts, helping guide decisions on platform adoption, optimization, and retirement.
• Own existing reports and support ad hoc analytics requests.
• Explore innovative approaches to analytics, automation, AI, and self-service reporting.
• Partner with business leaders to understand reporting needs and deliver actionable insights.
• Promote data governance, data literacy, and effective use of BI tools across the organization.

Skills

Power BI

SAS

SQL

DAX

Education

Bachelor’s degree or equivalent experience

Tools

Power BI

SAS

Job description

Principal Financial Group is seeking a Business Intelligence Analyst III for the RIS Data & Analytics team in Des Moines, IA. This role focuses onPower BI and SAS, with exposure to other BI platforms, SQL, and DAX to deliver insights and shape governance.

You will own reporting solutions, collaborate with leaders, and explore AI-enabled analytics while supporting ad hoc analytics needs and data literacy initiatives.