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Principal Analytics Engagement Consultant

Job not on LinkedIn

🔥 4 minutes ago

🇺🇸 United States – Remote

đź’µ $162.5k - $214k / year

⏰ Full Time

đź”´ Lead

đź’Ľ Consultant

🦅 H1B Visa Sponsor

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Logo of Public Partnerships | PPL

Public Partnerships | PPL

1001 - 5000 employees

⚕️ Healthcare Insurance

🤝 B2B

Healthcare Insurance • B2B

Public Partnerships | PPL is a provider of financial management and administrative services that enable self-directed Medicaid long-term care. The company helps eligible Medicaid participants hire and manage caregivers (including family or friends), handles payroll, payments, tax and compliance paperwork, and offers online tools and support to participants, caregivers, and program administrators. PPL partners with state Medicaid agencies and managed care organizations to administer self-directed care programs across multiple states, aiming to simplify program administration and keep people in their homes.

đź“‹ Description

• Sign off on analytical methods for executive, state agency, MCO, auditor, and RFP deliverables • Write and publish PPL analytics standards covering data modeling, semantic layers, metric definitions, statistical methods, documentation, and reproducibility • Co-author the enterprise analytics strategy with the VP of Analytics • Own the technical roadmap for the semantic and governance layer • Stop unsupported deliverables, figures, or claims • Serve as the deciding technical voice on leveling and hiring for the Analytics Engagement Consultant team • Lead consequential engagements involving executive sponsorship, regulatory exposure, or material P&L impact • Drive adoption of analytics standards across Operations, Finance, Program, and Client Services • Collaborate with PPL Data Architects on semantic layers, canonical data models, and metric definitions • Present PPL analytics to state agency and MCO leadership • Defend methodology under regulatory and audit scrutiny • Own analytical sections of major RFP responses • Review and approve work from analytics team members • Develop analytics professionals toward Principal-level judgment • Own the evolution of methodology, tooling standards, and operating model with the VP • Set the culture of analytics craft and intellectual honesty • Build the hardest models and maintain production dbt, SQL, and Python reference implementations

🎯 Requirements

• 12+ years of progressive experience in analytics, data science, analytics engineering, or management consulting • 5+ years at the Staff, Principal, or equivalent level • Proven authority defining analytical methodologies and organizational standards • Experience serving as final reviewer for high-impact analysis • Analytical work able to withstand executive, regulatory, and audit-level scrutiny • Deep hands-on expertise with contact-center platforms and data, including contact-level modeling, workforce management, routing, multi-channel structures, and Erlang calculations • Experience with Genesys, Five9, NICE, Amazon Connect, or similar platforms • Enterprise-scale ownership of production dbt environments and data models • Advanced/senior-level SQL • Working knowledge of Databricks, Azure DevOps, CI/CD, and orchestration tools • Python experience beneficial/nice to have • Ability to translate complex analysis into evidence-based narratives influencing executive decisions • Confidence challenging assumptions and presenting unexpected or contrary findings • Experience developing analytics professionals through mentorship, code review, technical guidance, and cross-functional leadership • Bachelor's degree required in computer science or information technology • Master's degree preferred in computer science or information technology • Healthcare, Medicaid, or other regulated-industry experience strongly preferred • Experience with claims, eligibility, payroll, finance, or program integrity preferred • Experience presenting to state agencies, MCOs, regulators, or auditors preferred • Experience writing analytical content of winning RFPs preferred • Consulting partner-track experience or principal-level analytics work at a mature technology company preferred • Experience establishing or substantially evolving an enterprise-scale semantic or governance layer preferred

🏖️ Benefits

• Equal opportunity and inclusive workplace culture • Company-sponsored training and education programs

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