Data Scientist

Creative Financial Staffing, LLC; East Lansing (MI); On-site; USD 95,000 - 125,000; Full time

Benefits offered by this job

Free Healthcare

Retirement Plan with match

3.5 Weeks PTO

Job summary

Creative Financial Staffing, LLC seeks a Data Scientist in East Lansing, MI to turn data into strategic insights using Power BI. You will build dynamic models, dashboards, and reports, partnering with teams to drive data-driven decisions and foster a culture of analytics.

The role requires 3+ years in BI/analytics, strong SQL, and expertise in Power BI data modeling and visualization. You’ll mentor others and help scale enterprise reporting across the organization.

Qualifications

• 3+ years in business intelligence, analytics, or decision science roles.
• Proven expertise in Power BI (DAX, Power Query, data modeling).
• Strong SQL skills creating queries and stored procedures.
• Experience in BI strategy, KPI development, and enterprise reporting.

Responsibilities

• 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 insights.
• Provide decision support through scenario modeling and strategic recommendations.
• Collaborate across teams to align BI solutions with business goals and mentor others in data visualization.

Skills

Power BI usage

SQL

Data visualization

Analytics

Stakeholder communication

Tools

Power BI

SQL

DAX

Power Query

Data modeling

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.