Biostatistics & Data Analytics Specialist

MAXIMUS; Omaha (NE); On-site; USD 59,000 - 124,000; Full time

Job summary

Maximus is seeking a data analytics professional to analyze operational data and derive actionable insights for stakeholders and business development partners. The role will guide partners on product performance and solution maturity, and develop KPIs and dashboards using Power BI.

The ideal candidate has 5–7 years of experience, strong SQL Server skills, and hands-on Databricks/Spark experience, with Python or R for analysis. Expect collaboration across multiple projects and data sources.

Qualifications

• Bachelor's degree or equivalent in a quantitative field.
• 5–7 years of relevant professional experience.
• Strong SQL Server/SQL/T-SQL skills.
• Experience with Databricks and Apache Spark/PySpark.
• Proficiency in Python or R for data analysis.
• Experience building Power BI dashboards and semantic models.
• Understanding ETL/ELT, data quality, and data modeling.
• Effective communication with stakeholders.

Responsibilities

• Analyze operational data and deliver actionable insights.
• Serve as a data analysis contact across projects.
• Develop metrics, functions, and scripts as KPIs.
• Design and implement ETL/ELT pipelines with SQL Server and Databricks.
• Create dashboards in Power BI and semantic models.
• Prepare data from multiple sources for reporting and readiness analytics.
• Support team communication and project management.

Skills

SQL Server

PySpark

Python

Power BI

Databricks

Data Modeling

ETL/ELT

Data Visualization

Education

Bachelor's degree

Bachelor's degree or equivalent (quantitative)

Tools

Databricks

Apache Spark

SQL Server

Power Apps

Power Automate

Job description

Maximus is seeking a data analytics professional to analyze operational data and derive actionable insights for stakeholders and business development partners. The role will guide partners on product performance and solution maturity, and develop KPIs and dashboards using Power BI.

The ideal candidate has 5–7 years of experience, strong SQL Server skills, and hands-on Databricks/Spark experience, with Python or R for analysis. Expect collaboration across multiple projects and data sources.