À propos
The Training Operations Data Analyst is responsible for collecting, cleaning, and structuring data related to job roles, skills, training, and certifications within Operations. This role supports the development and maintenance of competency and skills taxonomy artifacts, populates data within learning and workforce systems, and creates dashboards and reports to communicate trends and gaps to program leadership.
Location:White Plains, New York, United States
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.
Required Skills & Certifications:
- 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. - Bachelor's degree in Data Science, Statistics, Business Analytics, Information Systems, or a related field. - 2-5 years of experience in data analysis, business intelligence, or a related analytical role.
Preferred Skills & Certifications:
- 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.
Special Considerations:
- N/A
Scheduling: - N/A
Compétences linguistiques
- English
Avis aux utilisateurs
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