Workforce Data Analytics Engineer

Workforce Data Analytics Engineer, Mechanicsburg PA

About Us & This Opportunity
TSi is an award-winning Human Capital Services firm dedicated to the science of transformation characterized by accelerated change, uncertainty, and complexity. The science of transformation focuses on individuals, organizations, and systems to produce efficiency, effectiveness, better outcomes, and rationalization of services. With talented people at all levels, TSi helps move clients' performance forward, and this mid-level, full-time opportunity belongs to someone who wants to be part of a team making a difference for our Department of Navy (DON) customers. The work location is hybrid with both remote work at home and regular meetings at the client site in Mechanicsburg, PA.

Duties and Responsibilities
The Workforce Data Analytics Engineer will apply knowledge, skills, and experience analyzing data and extracting insights to support the management and improvement of DON acquisition workforce policies, frameworks, and processes. Examples of typical tasks include:

• Analyze, interpret, and portray data related to acquisition workforce status, trends, and comparisons in support of command, functional area, and career field leadership and management priorities.
• Use the DON's Advana Jupiter environment (including Databricks and Qlik) to access, transform, and visualize large data sets in support of DON decision-making.
• Develop, maintain, and enhance dashboards and visualizations in Advana/Jupiter, Qlik, and Power BI that clearly communicate trends, risks, and insights to senior leaders.
• Utilize SQL and Jupiter/Databricks notebooks to query, join, and aggregate data from multiple sources, ensuring accuracy, traceability, and reproducibility of analyses.
• Use analytic tools, such as MS Excel, Excel PowerQuery, MS Power BI, and/or RStudio, to filter, organize, analyze, and portray performance information.
• Design and support SharePoint and Microsoft Teams–based workflows to automate reporting, approvals, data collection, and collaboration with DON stakeholders.
• Coordinate communications (emails, phone calls, MS Teams video, and face-to-face meetings) among stakeholders to facilitate efficient communication and learning.
• Report back to clients on findings and recommendations using statistical and visualization tools and methods, including live demonstrations of analytic workflows when requested.

Qualifications

Required Experience

• Active user of the DON's Advana Jupiter system with a current Jupiter