Junior Analytics Engineer

PeopleTec, Inc.•Huntsville, AL

1d•Hybrid

About The Position

PeopleTec is currently seeking a Junior Analytics Engineer to support our Huntsville, AL (hybrid / remote) location. PeopleTec is seeking a Junior Analytics Engineer to support the TAPO H47 ER Analytics effort. The candidate will support preparation, validation, transformation, visualization, and analysis of data used to deliver actionable analytical products. The role works with analysts, engineers, software developers, and operational SMEs to prepare datasets, conduct analysis, develop visualizations, validate data quality, and integrate analytical results into Rubix and related reporting capabilities.

Requirements

2 years of experience
Academic, project, internship, or professional data-analysis experience.
Working knowledge of SQL and Python and/or R.
Experience preparing/analyzing datasets and developing visualizations or dashboards.
Understanding of statistical and analytical methods.
Ability to interpret data and communicate analytical results.
Proficiency with Microsoft Excel and common Office products.
Strong analytical, problem-solving, organizational, and communication skills.
Must be a U.S. Citizen
An active DoD Secret clearance is required to perform this work. Candidates are required to have an active Secret clearance upon hire (or able to obtain), and the ability to maintain this level of clearance during their employment.

Nice To Haves

Tableau or Power BI experience.
IBM SPSS or comparable statistical tools.
Forecasting, segmentation, performance metrics, or dashboard development.
Automated/repeatable data-analysis workflows.
Understanding of AI/ML concepts and large-language-model technologies.
Experience with financial, operational, logistics, aviation, or programmatic data.
Rubix or comparable enterprise analytics platform experience.
Army/DoW analytical experience.

Responsibilities

Collect, clean, transform, validate, and analyze structured data.
Develop SQL queries and analytical datasets supporting Rubix capabilities.
Use Python, R, SQL, Excel, and related tools for analysis and repeatable automation.
Develop visualizations, dashboards, reports, and analytical products.
Identify patterns, trends, anomalies, relationships, and performance indicators.
Perform data-quality checks and investigate discrepancies.
Support forecasting, segmentation, statistical analysis, and descriptive/predictive analytics.
Translate analytical results into concise findings for technical and non-technical audiences.
Work with SMEs/developers to translate analytical requirements into Rubix functionality.
Document sources, transformations, methods, assumptions, and results.