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Data Science & Analytics 1h ago
Business Operations & Workforce Analytics Analyst
United StatesFull-time
$130,000 - $150,000
Mid-Level
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Job Description
Key Skills Required
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About the Role
This is a key role supporting the Chief People & Customer Officer — you pull the data, build the models, and produce the decks that drive decisions across both the people and customer sides of the business. You'll operate as a one-person analytical engine spanning workforce analytics, customer operations performance, outsourced partner modeling, and executive communications. We are looking for a sharp, self-directed analyst who can move fast across two distinct domains and bring a point of view to the table, not just a spreadsheet.
What You'll Do
- Build and maintain workforce analytics covering headcount, attrition, compensation, and engagement — cleaning underlying data, modeling it, and using AI/ML tools to surface patterns like attrition risk and hiring forecasts into clear, actionable summaries for leadership
- Research, test, and benchmark AI tools for HR and customer operations use cases — talent acquisition, performance management, support automation, workforce management — and deliver cost/benefit comparisons leadership can act on
- Model headcount, capacity, and cost for outsourced/BPO partners, track SLA and budget performance, and build the analytical foundation behind insourcing/outsourcing and vendor-change proposals
- Track performance across both people and customer operations functions — cost per contact, handle time, SLA adherence, engagement scores — and proactively surface risks and gaps to the CPCO and business unit leaders
- Produce executive-ready materials — decks, memos, pre-reads, talking points, and agendas — spanning both functions, leveraging AI tools (Claude, ChatGPT, Gamma) to accelerate drafting, synthesis, and research
- Coordinate across various functions and BUs to gather input on people strategy, customer operations initiatives, M&A integration, comp cycles, and AI adoption efforts
What We're Looking For
- 3–5 years in an analyst, business operations, or data-driven role with demonstrated ability to own the full workflow — data pull, model build, and final output — without support staff
- Consulting experience (Big 4 preferred) supporting client organizations' business operations.
- Hands-on proficiency in Excel/Google Sheets and Google Slides; Extensive knowledge of AI-enabled productivity tools (Claude, ChatGPT, LLM-based assistants) applied to analysis and synthesis
- Proven ability to identify gaps or anomalies in data independently, form a point of view, and communicate findings clearly in writing and verbally to senior stakeholders
- High discretion and organizational rigor — demonstrated track record handling confidential org, financial, or customer data across multiple concurrent workstreams
- Bachelor's degree required
Bonus Points
- Experience supporting Human Resources or Customer Support departments.
- Prior exposure to workforce or capacity planning models, vendor management, or BPO partner environments
- SQL or BI tool experience (Tableau, Looker) and familiarity with AI governance requirements
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