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The Operations Data Science Senior Associate plays a pivotal role in driving data-powered decision-making across Operations, Recruiting, Sales, Training, and Client Pipelines. This role is responsible for leading complex data analysis, building high-impact dashboards and performance metrics, improving data governance, and delivering actionable insights that directly influence operational strategy. You will work closely with senior leadership, cross-functional teams, and various operational units to ensure data accuracy, streamline reporting processes, and enhance organizational performance.
Job Responsibility:
Lead the collection, validation, and reporting of key operational, recruiting, training, and productivity data
Oversee end-to-end reporting processes to ensure accuracy, timeliness, and alignment with business requirements
Develop automated reporting pipelines where possible to optimize efficiency
Provide high-level insights and recommendations to Operations and Recruiting leadership, using analytical findings to guide strategic and tactical decisions
Identify trends, risks, gaps, and performance opportunities through deep-dive data analysis
Translate complex datasets into clear, concise narratives for senior leadership discussions
Design, implement, and maintain comprehensive dashboards that track performance, quality, capacity, and productivity across operational teams
Own the development of KPIs for Operations and Recruiting, ensuring relevance, accuracy, and continuous refinement as business needs evolve
Utilize Power BI, Excel, and other analytics platforms to visualize data in intuitive and actionable formats
Ensure data consistency, integrity, and normalization across all systems, including CRMs, HRIS, LMS, ATS, and internal operational tools
Establish and enforce data validation standards and best practices
Conduct periodic audits and troubleshoot discrepancies in coordination with system owners
Work closely with Research, Training, Recruiting, Operations, and Client Success teams to integrate data, streamline processes, and improve reporting accuracy
Partner with operations and system administrators to enhance data collection workflows, reduce errors, and increase efficiency
Support special projects requiring data modeling, forecasting, manpower planning, or performance analytics
Mentor junior associates or operations staff on data literacy, reporting frameworks, and analytics tools
Contribute to the development of best practices, SOPs, and data-driven operational strategies
Requirements:
Advanced analytical capability
Strong operational understanding
Ability to transform raw data into strategic recommendations
Experience with data collection, validation, and reporting
Experience with automated reporting pipelines
Experience in providing insights and recommendations to leadership
Experience in identifying trends, risks, gaps, and performance opportunities
Experience in translating complex datasets into clear narratives
Experience in designing, implementing, and maintaining dashboards
Experience in developing KPIs
Proficiency in Power BI, Excel, and other analytics platforms
Experience in data governance, normalization, and quality assurance
Experience with CRMs, HRIS, LMS, ATS, and internal operational tools
Experience in establishing data validation standards
Experience in conducting data audits
Experience in cross-functional collaboration
Experience in process optimization
Experience in data modeling, forecasting, manpower planning, or performance analytics
Experience in mentoring junior staff
Experience in developing SOPs and data-driven strategies