Junior Biostatistician: Data Analytics & ML for Operations

MAXIMUS; Reno (NV); On-site; USD 59,000 - 124,000; Full time

Benefits offered by this job

Health insurance

Life insurance

Disability insurance

Retirement savings plan

Paid holidays

Paid time off

Job summary

Maximus in Reno, NV is seeking a data-focused professional to develop advanced methods for analyzing operational data and delivering actionable insights. You will act as the primary data contact across multiple projects, guiding partners on performance and maturity options.

The role involves ETL/ELT pipelines with SQL Server and Databricks, Python/R for analyses, and Power BI dashboards to support decision making. Strong communication with stakeholders is essential.

Qualifications

• Experience with SQL Server/SQL/T-SQL for data analysis.
• Hands-on Databricks and Apache Spark, preferably PySpark.
• Proficiency in Python or R for data analysis.
• Experience building visual analytics with Power BI.
• Understanding ETL/ELT, data modeling, and data quality.

Responsibilities

• Develop and deploy advanced methods to analyze operational data and derive meaningful insights for stakeholders and business development partners.
• Function as point of contact for data and analytical usage across multiple projects.
• Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
• Create dashboards and analytical products using Power BI, including semantic modeling and measures.
• Acquire, integrate, and prepare data from multiple sources to enable operational reporting and decision support.

Skills

SQL

Databricks

PySpark

Python

R

Power BI

Education

Bachelor's degree

Tools

SQL Server

T-SQL

Apache Spark

Power Apps

Power Automate

Python

R

Job description

Maximus in Reno, NV is seeking a data-focused professional to develop advanced methods for analyzing operational data and delivering actionable insights. You will act as the primary data contact across multiple projects, guiding partners on performance and maturity options.

The role involves ETL/ELT pipelines with SQL Server and Databricks, Python/R for analyses, and Power BI dashboards to support decision making. Strong communication with stakeholders is essential.