BI Analyst II - Data-Driven Insights

Rogue Credit Union; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

Rogue Credit Union in the United States is seeking a senior analytics professional to transform data into strategic insights for leadership and teams. The role focuses on cross-functional data analysis, modeling member segments, and delivering usable reports that drive member engagement and financial performance.

You will work with SQL, Python, and BI tools (Tableau, Power BI, Sisense) and collaborate with stakeholders to translate data into practical solutions.

Qualifications

• Five to eight years of related analytics experience.
• Experience in a financial services environment preferred.
• Master's degree or Bachelor's degree plus CPA.
• Excellent collaboration and communication skills.
• Strong knowledge of data modeling concepts.
• Familiarity with Agile development processes.

Responsibilities

• 30% Proactively analyzes data from various sources to identify trends that support organizational goals.
• 25% Produces reports and data for project teams, managers, and decision makers in usable formats.
• 15% Maintains models highlighting member segments and life cycles and evaluates opportunities to enhance deposits and loans.
• 15% Recommends how data translates into tools staff can use to improve service and participation.
• 5% Conducts regular competitive analyses for markets and opportunities.
• 5% Provides training and ongoing support to power users.
• 5% Performs other duties as assigned.

Skills

SQL

Python

R

Data analysis

Education

Master's degree or Bachelor's + CPA

Tools

Tableau

Power BI

Sisense

DB2

Oracle

SQL Server

Job description

Rogue Credit Union in the United States is seeking a senior analytics professional to transform data into strategic insights for leadership and teams. The role focuses on cross-functional data analysis, modeling member segments, and delivering usable reports that drive member engagement and financial performance.

You will work with SQL, Python, and BI tools (Tableau, Power BI, Sisense) and collaborate with stakeholders to translate data into practical solutions.