Biostatistician & Data Analytics Specialist

MAXIMUS; Boston (MA); On-site; USD 59,000 - 124,000; Full time

Job summary

Maximus is seeking a data analytics professional to analyze operational data, create actionable insights, and support stakeholders across multiple projects. You will develop KPIs, build ETL/ELT pipelines with SQL Server and Databricks, and deliver Power BI dashboards.

The role requires collaboration with business partners to translate mission needs into data outputs. Ideal candidates have experience with PySpark, Python or R, and familiarity with NLP and LLM use cases, along with strong

Qualifications

• Bachelor's degree in related field.
• 5-7 years of relevant professional experience.

Responsibilities

• Develop and deploy advanced methods to analyze operational data and derive insights for stakeholders and business development partners.
• Function as point of contact for data and analytical usage across multiple projects, guiding partners on product performance.
• Analyze data, identify trends and provide insights around operations and project data.
• Develop and implement new metrics, functions, and scripts as KPIs as needed.
• Design and implement ETL/ELT pipelines using SQL Server and Databricks with Spark/PySpark for scalable processing.
• Create dashboards and analytical products using Power BI for semantic models and measures.

Skills

Python

R

SQL

Databricks

Apache Spark

PySpark

Power BI

Power Apps

Power Automate

NLP

communication

Education

Bachelor's degree in related field

Tools

SQL Server

Databricks

Power BI

Job description

Maximus is seeking a data analytics professional to analyze operational data, create actionable insights, and support stakeholders across multiple projects. You will develop KPIs, build ETL/ELT pipelines with SQL Server and Databricks, and deliver Power BI dashboards.

The role requires collaboration with business partners to translate mission needs into data outputs. Ideal candidates have experience with PySpark, Python or R, and familiarity with NLP and LLM use cases, along with strong