Junior Biostatistician - Data Analytics & ML for Operations

MAXIMUS

Wilmington (NC)

On-site

USD 59,000 - 124,000

Full time

13 days ago
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Job summary

MAXIMUS is seeking a skilled data analytics professional to develop advanced methods for analyzing operational data and delivering actionable insights to stakeholders and partners. You will serve as the primary data contact on multiple projects, guiding improvements and maturity options for solutions.

The role emphasizes ETL/ELT pipeline development with SQL Server and Databricks, and applying ML techniques to generate forecasts and readiness analytics.

Qualifications

  • Bachelor's degree or equivalent with 5-7 years of relevant experience.
  • Strong SQL Server / SQL / T-SQL proficiency and data modeling basics.
  • Hands-on Databricks and Apache Spark (prefer PySpark) experience.
  • Foundational Python or R for analysis, data manipulation, ML workflows.
  • Experience building Power BI dashboards with semantic models and DAX.
  • Familiarity with Power Apps and Power Automate for workflows.
  • Knowledge of ETL/ELT, data quality checks, reproducible pipelines.
  • Understanding NLP and Large Language Models and use cases.

Responsibilities

  • Develop and deploy methods to analyze operational data for insights.
  • Serve as data/analytical contact across projects and guide stakeholders.
  • Create and maintain documentation of data sources and methods.
  • Build ETL/ELT pipelines using SQL Server and Databricks.
  • Develop metrics, scripts, and KPI outputs from large datasets.
  • Create dashboards and analytical products in Power BI.
  • Support low-code integrations with Power Apps and Power Automate.
  • Apply ML and statistical methods to forecasts and readiness analytics.
  • Perform project management activities and data acquisitions from sources.

Education

Bachelor's degree or equivalent with 5-7 years of experience in quantitative science or related field
Proficiency with Microsoft Office (Word, Excel, Access)
SQL Server/SQL/T-SQL
Databricks / Apache Spark / PySpark
Python or R for analysis
Power BI experience (reports, datasets, DAX)
Power Apps / Power Automate
NLP / Large Language Models familiarity
ETL/ELT, data modeling, data quality checks

Tools

Databricks
Apache Spark
PySpark
SQL Server
SQL/T-SQL
Power BI
Power Apps
Power Automate
Python
R

Job description

MAXIMUS is seeking a skilled data analytics professional to develop advanced methods for analyzing operational data and delivering actionable insights to stakeholders and partners. You will serve as the primary data contact on multiple projects, guiding improvements and maturity options for solutions.

The role emphasizes ETL/ELT pipeline development with SQL Server and Databricks, and applying ML techniques to generate forecasts and readiness analytics.

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