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# Strategic WFM Analyst

AI Summary This Strategic WFM Analyst owns centralized forecasting, capacity planning, workforce cost optimization, and strategic headcount decisions across multiple lines of business. The role converts demand forecasts into staffing, BPO, overtime, and budget recommendations while assessing SLA and operational risks. It requires advanced WFM modelling knowledge, including Erlang, AHT, shrinkage, capacity, and service-level trade-offs, supported by strong SQL, Python, or Google Sheets skills. The analyst partners closely with Finance, Product, and Operations and prepares concise executive memos and Weekly Business Reviews. This is a strategic analytics role rather than a traditional scheduling or intraday-monitoring position.[Apply for this job](#job-application)[View company](https://jobicy.com/company/clipboard.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md), [Canada](https://jobicy.com/job-region/canada.md), [Europe](https://jobicy.com/job-region/europe.md)+1 more, [LATAM](https://jobicy.com/job-region/latam.md)SalaryUSD 50k–110k / yrDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceDirectorPublished9 Nov 2026Apply before9 Dec 2026Listing views38Application actions3Application toolkit

## Make your next move.

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Opportunity details

## About this role.

### About [Clipboard](https://jobicy.com/company/clipboard.md)

Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S.

Founded in 2016, we are a remote-first team of over 1,000 people building a top [Y-Combinator company](https://www.ycombinator.com/topcompanies/) and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities.

### Role Overview

The Strategic WFM Analyst lives in the Core Workforce Management (WFM) Planning & Operations Strategy team and is responsible for owning centralized forecast, capacity planning, workforce cost optimization, and strategic headcount trade-offs across all lines of business (LOBs). Moving beyond traditional scheduling and intraday monitoring, this role acts as a high-judgment governance function, translating complex demand forecasts into defensible FTE, BPO, and overtime spend strategies, modelling capacity risks, and aligning executive stakeholders across Finance, Product, and Operations. You are exceptionally strong in WFM maths and financial analytics, exhibit deep strategic curiosity, navigate messy raw data effortlessly, and communicate recommendations with executive-level clarity.

### What You’ll Do

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Translating multi-LOB demand forecasts into monthly and quarterly capacity, headcount, and budget requirements.

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Modelling workforce and financial trade-offs across internal FTEs, BPO partners, overtime spend, bonus hours, productivity shifts, and shrinkage.

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Analyzing demand-funnel changes (e.g., product feature roll outs, AI bot deflection shifts) and quantifying their exact capacity and dollar blast radius.

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Partnering directly with Finance, Product, and Operations to validate baseline assumptions, enforce input SLAs, and align on staffing commitments.

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Drafting concise, decision-ready executive memos and Weekly Business Reviews (WBRs) for Directors and leadership.

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Conducting deep-dive root-cause analyses whenever operational actuals deviate from capacity plans and establishing corrective action paths.

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Standardizing capacity planning frameworks, modeling templates, and operating standards across LOBs.

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Maintaining deep forecasting competency to audit models, challenge underlying assumptions, and provide seamless coverage across the broader central WFM engine.

### What We’re Looking For

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Strategic WFM Maths: Exceptionally strong quantitative background with deep expertise in WFM fundamentals (capacity modelling, Erlang, shrinkage, AHT, SLA/ASA trade-offs) and advanced proficiency in Google Sheets, SQL, or Python.

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Business & Financial Judgement: Demonstrated ability to connect operational queue dynamics directly to dollar exposure, hiring velocity, BPO costs, and SLA risk.

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Executive Communication: Superior strategic writing skills with a natural instinct to distil complex, multi-variable workforce analytics into scannable, 1-2 page decision memos.

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Cross-Functional Influence: Proven ability to establish governance frameworks, challenge bad assumptions with back tested data, and align Finance, Product, and Operations leadership without formal authority.

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Blank-Page Ownership: High comfort operating in ambiguous environments with incomplete data, verifiably isolating what materially matters without requiring step-by-step direction.

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WFM Analyst Profile: Strong core WFM domain expertise with a strategic/Ops spike, not a generalist and not a passive traditional scheduler.

### Hiring Process

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Application

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Diagnostic Case Study

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Case Study Interview – Technical & Capacity Interview

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Executive Judgement & Strategic Interview

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Culture Interview (People Ops)

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Offer

Quick Note on Scammers:

Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members [here](https://forms.gle/SyGaxHFbon7Hg9fW6).

Show more

[Apply now >](https://jobicy.com/jobs/160216-strategic-wfm-analyst.md)

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## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

5/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThe position combines advanced workforce-management mathematics with financial modelling, ambiguous data, and high-impact cross-functional decisions. Success depends on independently challenging assumptions and clearly influencing executive stakeholders without formal authority.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate$80,000US market range (per year)$70k–$120k0$132k

AI insightThe employer discloses a yearly base compensation range of $50,000–$110,000 USD, with a midpoint of $80,000. Estimated market compensation for a strategic WFM analytics role is approximately $70,000–$120,000 USD per year, varying by location, depth of WFM expertise, and financial-planning scope.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Workforce management](https://jobicy.com/jobs?search_keywords=Workforce%20management.md)[Capacity planning](https://jobicy.com/jobs?search_keywords=Capacity%20planning.md)[Demand forecasting](https://jobicy.com/jobs?search_keywords=Demand%20forecasting.md)[Erlang modelling](https://jobicy.com/jobs?search_keywords=Erlang%20modelling.md)[Financial analytics](https://jobicy.com/jobs?search_keywords=Financial%20analytics.md)[Headcount planning](https://jobicy.com/jobs?search_keywords=Headcount%20planning.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Google Sheets](https://jobicy.com/jobs?search_keywords=Google%20Sheets.md)[BPO management](https://jobicy.com/jobs?search_keywords=BPO%20management.md)[Service level management](https://jobicy.com/jobs?search_keywords=Service%20level%20management.md)[Root cause analysis](https://jobicy.com/jobs?search_keywords=Root%20cause%20analysis.md)[Executive communication](https://jobicy.com/jobs?search_keywords=Executive%20communication.md)[Operational strategy](https://jobicy.com/jobs?search_keywords=Operational%20strategy.md)[Cross-functional collaboration](https://jobicy.com/jobs?search_keywords=Cross-functional%20collaboration.md)

Sample interview questionsHow would you convert a demand forecast into a monthly staffing plan?I would validate the demand forecast by channel and interval, apply AHT, target service levels, shrinkage, occupancy, and operating-hour assumptions, then use Erlang or an equivalent capacity model to calculate required productive hours. I would convert those hours into FTE requirements and test scenarios for hiring lead time, BPO capacity, overtime, and productivity changes.

Describe how you would evaluate whether overtime or a BPO partner is the better response to a capacity gap.

I would compare fully loaded marginal costs, available capacity, ramp time, quality and SLA risk, and the expected duration of the demand gap. Overtime may be preferable for short, predictable gaps, while BPO support can be more suitable for sustained demand or when internal hiring cannot ramp quickly enough.

What would you do if actual performance materially deviated from a capacity plan?

I would decompose the variance into demand, AHT, shrinkage, productivity, staffing, and schedule-adherence drivers. After quantifying each driver’s capacity and financial impact, I would identify corrective actions, update assumptions where evidence supports it, and communicate ownership and timing through a concise action plan.

How would you challenge a stakeholder assumption in a workforce-planning process?

I would first clarify the decision the assumption affects, then test it against historical data, back-testing results, and sensitivity analysis. I would present the impact in business terms, such as FTE, cost, or SLA exposure, and offer a practical alternative rather than only identifying a problem.

How would a product change that reduces contacts through bot deflection affect your model?

I would measure the expected change in contact volume by channel, segment, and time interval, while checking whether the remaining contacts have a different AHT or complexity profile. I would then rerun capacity and cost scenarios, monitor actual deflection after launch, and adjust the forecast once the observed behavior is statistically reliable.

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