Senior People Analytics Lead

🔥 7 hours ago

🏄 California, Colorado, +13 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🏛️ District of Columbia – Remote 🌽 Illinois – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote ⚓ Rhode Island – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote 🍑 Georgia – Remote

💵 $137.3k - $173.5k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Coursera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

📚 Education

🛍️ eCommerce

☁️ SaaS

💰 $1M Venture Round on 2021-01

Education • eCommerce • SaaS

Coursera is one of the largest online learning platforms in the world, launched in 2012 by Stanford professors Andrew Ng and Daphne Koller. With the mission of providing universal access to world-class learning, Coursera partners with over 250 leading universities and industry partners to offer a wide range of courses, Specializations, Professional Certificates, and degree programs. As of March 2022, it had 102 million registered learners and is utilized by institutions globally for workforce upskilling and reskilling in various fields like data science, technology, and business. Coursera became a B Corp in February 2021.

📋 Description

• Own the People organization’s analytics roadmap • Build and maintain reliable people datasets and pipelines with metric definitions, quality checks, and documentation • Analyze onboarding, employee changes, case management, and offboarding processes to identify bottlenecks, errors, and manual work • Develop metrics for service demand, cycle times, resolution quality, and rework • Deliver workforce and talent insights on headcount, workforce costs, org structure, hiring, retention, internal mobility, and succession • Apply statistical analysis, forecasting, and predictive techniques • Build dashboards and streamline recurring reporting • Run a quarterly workforce insights review highlighting changes, risks, and recommended actions • Identify, validate, and measure responsible AI and automation opportunities • Embed privacy, access controls, and responsible-use practices in sensitive-data initiatives • Set analytical standards and coach People colleagues on data use • Partner with People Business Partners, Talent Acquisition, Total Rewards, Employee Relations, People leadership, HRIS, IT, Finance, Legal, and data engineering teams

🎯 Requirements

• 8+ years in people analytics, HR analytics, or a related field • Substantial experience applying analytics to People data and processes • Strong understanding of HR operations, employee lifecycle processes, and workforce and talent metrics • Experience with Workday or a similar HRIS • Experience integrating complex HR datasets and building sustainable pipelines with HRIS, IT, or data engineering teams • Advanced SQL and strong Python or R skills • Advanced proficiency in Databricks, Tableau, or similar platforms • Strong grounding in statistical methods • Demonstrated success translating analysis into measurable improvements in efficiency, service quality, data accuracy, or employee experience • Ability to scope ambiguous requests, prioritize competing needs, and deliver independently • Clear, compelling communication with senior People and business leaders • Sound judgment with sensitive employee data and commitment to privacy, fairness, and responsible AI

🏖️ Benefits

• Comprehensive health and wellness benefits • Bonus programs • RSU equity programs • Global perks designed to help you grow and thrive • Choice of working from home, an office, or a collaboration space • Globally distributed team collaboration opportunities • Reasonable accommodations upon request

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