Data Scientist

CFS; East Lansing (MI); On-site; USD 95,000 - 125,000; Full time

Benefits offered by this job

Free healthcare

Retirement plan with match

PTO 3.5 weeks

Job summary

CFS in East Lansing, MI is seeking a Data Scientist to turn complex data into actionable insights using Power BI. You will build dynamic data models, dashboards, and reports to support strategic decisions across teams.

The role requires 3+ years in BI/analytics with strong Power BI and SQL skills. You will collaborate across departments, mentor others in data visualization, and contribute to a data-driven culture. Onsite role with a competitive package.

Qualifications

• 3+ years in BI, analytics, or decision science roles.
• Proven Power BI expertise with DAX, Power Query, and data modeling.
• Strong SQL skills with queries and stored procedures.
• Experience in BI strategy, KPI development, and enterprise reporting.
• Strong analytical and problem-solving abilities.
• Excellent data storytelling and visualization skills.
• Ability to influence decisions through clear, evidence-based insights.
• Collaborative mindset to enable a data-driven culture.

Responsibilities

• Develop and maintain BI data models for performance tracking, forecasting, and planning.
• Conduct in-depth data analysis to identify trends and drivers.
• Ensure data accuracy and governance across BI datasets and reports.
• Design and build Power BI dashboards and reports to visualize KPIs.
• Create advanced DAX measures and Power Query transformations.
• Enable self-service reporting for business users with real-time insights.
• Provide decision support through scenario modeling and what-if analysis.
• Collaborate across teams to align BI with business goals and mentor others.

Skills

Power BI

SQL

Data storytelling

Analytics

Job description

Position: Data Scientist

Salary: $95,000 - 125,000

Benefits: Free Healthcare, Retirement Plan w/ match, 3.5 Weeks PTO, etc.

Location: East Lansing, MI area (Onsite)

Why You Should Apply

• Outstanding culture with a family-oriented feel, where technology is highly valued.
• Competitive compensation and benefits package with $0 cost healthcare options.
• Work in a modern environment with the latest tools, collaborative spaces, and a strong focus on professional growth.

Job Summary

This position combines data science, analytics, and visualization to turn complex data into clear, actionable insights. You'll be using Microsoft Power BI to build dynamic data models, dashboards, and reports that help teams and leaders across the organization make informed, strategic decisions.

Responsibilities Of The Data Scientist

• Develop and maintain BI data models to support performance tracking, forecasting, and strategic planning.
• Conduct in-depth data analysis to identify trends, anomalies, and business drivers.
• Ensure data accuracy and governance across BI datasets and reporting tools.
• Design and build Power BI dashboards and reports to visualize KPIs and operational insights.
• Create advanced DAX measures and Power Query transformations for actionable analytics.
• Enable self-service reporting for business users with real-time, accessible insights.
• Provide decision support through scenario modeling, what-if analysis, and strategic recommendations.
• Collaborate across teams to align BI solutions with business goals and mentor others in data visualization best practices.

Preferred Experience Of The Data Scientist

• 3+ years in business intelligence, analytics, or decision science roles.
• Proven expertise in Microsoft Power BI (DAX, Power Query, data modeling).
• Strong SQL skills creating SQL queries, stored procedures.
• Experience in BI strategy, KPI development, and enterprise reporting.
• Strong analytical and problem-solving skills.
• Excellent data storytelling and visualization
• Ability to influence decisions through clear, evidence-based insights.
• Collaborative mindset with focus on enabling a data-driven culture.

Bonus Experience Of The Data Scientist

• Certifications in Power BI, SQL, Machine Learning.
• Familiarity with data governance, data integration, and analytics best practices.
• Experience with Python or R.

#INSEP2026