Biostatistician & Data Analytics Engineer

MAXIMUS; Philadelphia (Philadelphia County); On-site; USD 59,000 - 124,000; Full time

Job summary

MAXIMUS in the United States is seeking a data and analytics professional to develop and deploy advanced methods to analyze operational data and provide actionable insights for stakeholders and business development partners. You will serve as the data liaison across multiple projects, guiding partners on product performance and solution improvements.

The role covers ETL/ELT design using SQL Server and Databricks with Spark/PySpark, building analytics-ready datasets, dashboards in Power BI, and

Qualifications

• Bachelor's degree or equivalent in a related field.
• 5–7 years of relevant professional experience.
• Strong SQL, Python or R for data analysis.
• Experience with Databricks/Spark/PySpark.
• Experience creating Power BI dashboards and datasets.

Responsibilities

• Develop and deploy advanced methods to analyze operational data and derive insights for stakeholders.
• Serve as point of contact for data and analytics across projects; guide on product performance.
• Analyze data, identify trends, and provide insights on operations and project data.
• Design and implement ETL/ELT pipelines using SQL Server and Databricks (Spark/PySpark).
• Create and maintain curated datasets with data quality and lineage considerations.
• Develop dashboards and analytics products using Power BI.

Skills

SQL/SQL Server

Python or R

Power BI

Data analysis

NLP familiarity

Communication

Education

Bachelor's degree in related field

Equivalent combination of education and experience

Tools

Databricks

Apache Spark

PySpark

SQL Server

Power Apps

Power Automate

Job description

MAXIMUS in the United States is seeking a data and analytics professional to develop and deploy advanced methods to analyze operational data and provide actionable insights for stakeholders and business development partners. You will serve as the data liaison across multiple projects, guiding partners on product performance and solution improvements.

The role covers ETL/ELT design using SQL Server and Databricks with Spark/PySpark, building analytics-ready datasets, dashboards in Power BI, and