Workforce Analytics Model Standardization Consultant – Contractor

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $85 - $100 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

💼 Consultant

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Included Health

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

☁️ SaaS

👥 HR Tech

Healthcare • SaaS • HR Tech

Included Health is a healthcare technology company that delivers personalized, employer- and health-plan-focused primary, urgent, and behavioral health care through a single app and a network of virtual and in-person services. It blends AI-driven tools and human care teams to provide 24/7 care coordination, billing and claims advocacy, second opinions from leading specialists, and mental-health support, with the goal of lowering employer healthcare costs and improving member experience and inclusivity.

📋 Description

• Standardize and clean high-burden Google Sheets models for structure, readability, maintainability, and traceability. • Audit interconnected spreadsheets, identify fragile dependencies, clarify inputs and outputs, and reduce unnecessary complexity while preserving sound forecasting methodology. • Establish conventions for tabs, formulas, input areas, assumptions, checks, file naming, permissions, and handoff materials. • Review models for data integrity, formula consistency, broken links, stale inputs, hard-coded values, and production risks. • Reverse-engineer undocumented models and document source data, refresh steps, dependencies, assumptions, business rules, calculations, outputs, limitations, and failure modes. • Organize Google Drive folders and model inventories; archive stale or redundant versions while preserving historical sources of truth. • Create runbooks and handoff materials enabling analysts to run, troubleshoot, and maintain the work. • Support the recurring workforce planning and forecasting cycle, roughly from the 20th through the 10th of each month. • Handle ingestion, file preparation, formatting, reconciliation, and quality checks within live production processes. • Improve Jira workflow structures and create checklists and repeatable procedures for recurring analytics work. • Develop standardized model outputs and reusable FP&A and Operations pre-read templates. • Meet with stakeholders to understand review, decision, and action needs; gather feedback and turn useful patterns into operating standards. • Improve traceability from source data and assumptions through model outputs and reporting. • Apply quality controls, peer-review steps, versioning conventions, and documentation standards. • Pull and validate source data independently; use Apps Script, light Python, or other automation selectively. • Produce accurate, reproducible, documented work while protecting workforce-data privacy. • Own defined workstreams and leave durable improvements for the ~4-month scoped project.

🎯 Requirements

• 6+ years in analytics, workforce planning, FP&A analytics, operations analytics, or a related data-focused field, with experience owning projects end to end. • Demonstrated experience building spreadsheet tools that other people relied on and maintaining them through real operating cycles. • Advanced proficiency in Google Sheets, including complex formulas, interconnected files, data validation, error handling, performance considerations, and cross-file references at scale. • Direct experience reverse-engineering another person’s undocumented or poorly documented spreadsheet model and explaining how it works to someone else. • Experience supporting FP&A, workforce planning, demand forecasting, capacity planning, or a similar recurring planning process where traceability and deadline discipline matter. • Ability to pull, inspect, and validate data independently using SQL or an equivalent querying or data-extraction tool. • Strong stakeholder-discovery skills, including the ability to extract requirements from partners who have not yet articulated a clean specification. • Experience documenting and handing off work successfully, with specific examples of teams continuing to operate the tools after the consultant or analyst left. • Ability to work inside a live production cycle, manage competing deadlines, and escalate risks before they affect monthly deliverables. • Strong written and verbal communication skills, with the ability to explain model logic and data issues clearly to both technical and non-technical stakeholders. • Willingness to perform detailed, repetitive, and operationally necessary work, including file organization, version cleanup, archiving, reconciliation, and formatting.