Talent Acquisition Business Operations Analyst

Position Overview:

We are seeking a highly analytical and data-driven Business Operations Analyst to play a key role in enabling strategic decision making within the Talent Acquisition function. This position requires deep expertise in data modeling, capacity and resource planning, and operational analytics. The ideal candidate will leverage advanced analytical techniques to model and extract actionable insights from complex data sets, continuously refining forecasting accuracy and drive measurable improvement in operational efficiency.

This position offers the opportunity to build foundational reporting frameworks, baseline operational metrics and directly influence how Talent acquisition forecasts, plans and allocates its resources.

Key Responsibilities:

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  Own budget tracking, variance analysis, and timely reconciliation of operational expenses.

• Build and maintain forecasting and cost models to evaluate spend, headcount needs, and sourcing strategies.

• Conduct data-driven capacity and resource modeling based on hiring volumes, throughput, and efficiency goals.

• Analyze operational and cycle time data to identify process bottlenecks and recommend improvements.

• Collect, analyze, and interpret data from multiple systems (ATS, HRIS, CRM, LinkedIn, etc.) to track TA performance and effectiveness.

• Develop and maintain dashboards and reporting frameworks to support quarterly business reviews and performance tracking.

• Establish and evolve baseline data, KPIs, and benchmarks aligned to future Talent Acquisition priorities to monitor and improve operational effectiveness.

• Provide actionable, data-backed insights to improve resource allocation, cost efficiency, and service delivery.

Qualifications:

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  10 years of hands-on experience and a bachelor’s degree in Business, Finance, Economics, or a related field.

• Solid experience in business operations, data analysis and operational performance monitoring.

• Proven experience in data modeling, forecasting, and capacity planning to support strategic resource decisions.

• Familiarity with predictive analytics and the ability to interpret data for strategic decision-making.

• Proficiency in Excel, data modeling, and data visualization tools (e.g., Power BI, Tableau).

• Strong analytical mindset with the ability to translate complex data into actionable insights.

• Strong communication skills, with the ability to work cross-functionally and present complex data in a clear and actionable way.

Additional Attributes:

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  Proactive and self-motivated with the ability to manage multiple priorities.

• Strong problem-solving capabilities and an aptitude for identifying process improvements.

• Ability to work in a fast-paced and dynamic environment.