Job Title: Training Operations Data Analyst.
Location: White Plains, NY.
Project Overview:- We are seeking a detail-oriented Training Operations Data Analyst to provide execution support for enterprise workforce capability initiatives.
- This role focuses on collecting, structuring, and analyzing data to support competency frameworks, training analytics, and workforce gap tracking.
- The analyst will work under the direction of program management to operationalize defined models, populate systems, and produce clear, reliable insights that enable informed decision-making.
- This role plays a critical role in enabling successful execution of approved initiatives.
Job Functions & Responsibilities:- Collect, synthesize, clean, and structure data related to job roles, skills, training, and certifications across Operations.
- Support the development and maintenance of competency and skills taxonomy artifacts by mapping data to defined frameworks.
- Populate data within learning and workforce systems (e.g., LMS, spreadsheets, reporting tools) based on established standards.
- Aggregate training and capability data to support gap analysis and workforce readiness insights.
- Assist with the implementation and documentation of training pathways by maintaining data, artifacts, and system entries aligned to approved models.
- Create dashboards, reports, and data views that clearly communicate trends, coverage, and gaps to program leadership.
- Track defined KPIs and metrics related to training participation, skills coverage, and capability readiness.
- Document data sources, assumptions, workflows, and processes to ensure transparency and continuity.
- Coordinate with SMEs, HR, IT, and Operations partners to gather inputs and validate data accuracy.
Skills:- Strong proficiency in Excel (advanced functions, pivot tables, data modeling) and experience querying data using SQL.
- Experience creating dashboards and reports using tools such as Tableau, Power BI, or Looker.
- Demonstrated ability to manage multiple data streams and priorities with high attention to detail.
- Clear written and verbal communication skills, particularly in documenting processes and explaining data outputs.
Preferred Skills (Not Necessary):- Familiarity with Learning Management Systems (LMS) or workforce development platforms.
- Exposure to competency mapping, skills frameworks, or workforce analytics.
- Experience with Python or R for data analysis or automation.
- Knowledge of data integration or ETL tools.
Education & Certifications:- Education: Bachelor's degree in Data Science, Statistics, Business Analytics, Information Systems, or a related field.
- Experience: 2-5 years of experience in data analysis, business intelligence, or a related analytical role.
