Senior People Analytics Engineer

Description

You will help grow the People Analytics function by pairing strong analytical skill and data modeling with a practical understanding of the business. You will build integrated workforce analytics that turn complicated data into insights leaders can act on.

You connect HR, HRIS, IT, enterprise data teams, and business stakeholders. You turn business questions into analytical solutions and keep workforce data accurate, linked, and usable.

You need to work comfortably with engineers on data models and integration needs, and also with HR and business leaders on workforce problems, findings, and decisions.

The role moves the function past standard reporting toward predictive and forward-looking work, such as statistical analysis, workforce forecasting, and scenario modeling. You will work with the wider People Analytics team on complex analyses, data-driven narratives, and the groundwork for future AI-enabled workforce insights.

You lead priority People Analytics initiatives and act as the main escalation point and backup to the Director on analytics matters.

The company is a multibillion-dollar global memory business headquartered in Rancho Cordova, California, with operations in Asia, Europe, and the Americas. It combines the scale and stability of an established technology company with a start-up mindset.

Responsibilities

• Lead complex analyses across multiple systems using statistics, forecasting, and scenario modeling to spot workforce trends, risks, and opportunities. Turn the results into recommendations for HR and business leaders.
• Work with analysts and business stakeholders to build workforce insights, dashboards, and executive presentations that explain what is happening, why it matters, and which actions to weigh.
• Design, build, and maintain scalable, business-ready workforce datasets, analytical data models, and reusable semantic models on Workday and enterprise data platforms.
• Build and validate integrated analytical datasets with Workday Prism Analytics, Workday Data Cloud, or comparable enterprise platforms, combining HR, Finance, and business data.
• Develop and improve analytical solutions in Power BI, SQL, DAX, Power Query, Workday reporting, and related tools, including executive dashboards, standard measures, and self-service analytics.
• Set consistent workforce metrics, definitions, and calculations. Work with HRIS, IT, and business data owners to protect accuracy, quality, security, and governance.
• Define analytical requirements with HRIS, IT, and enterprise data teams and validate integrated data. IT remains responsible for integrations, connectors, and platform infrastructure.
• Lead and deliver complex People Analytics initiatives by coordinating technical requirements, timelines, dependencies, and stakeholders against agreed priorities.
• Help expand predictive analytics, automation, self-service reporting, and AI-enabled workforce insights as data and technology mature.
• Build analytics capability and data literacy across HR by mentoring analysts and giving technical guidance to teammates.

Requirements

• Bachelor's degree in Data Analytics, Data Science, Information Systems, Computer Science, Human Resources, Business, Economics, Statistics, or a related field.
• Equivalent combinations of education and relevant experience may also be considered.
• 7+ years of progressive experience in People Analytics, HR analytics, business intelligence, data analytics, or a related field.
• Solid knowledge of Workday HCM data structures, reporting, and workforce metrics across the employee lifecycle.
• Hands-on strength in SQL, data transformation, analytical data modeling, and complex datasets that span systems.
• Advanced Power BI skills, including DAX, Power Query, semantic models, dashboards, and visualization.
• Experience with Workday Prism Analytics, Workday Data Cloud, or comparable enterprise analytics platforms.
• Proven use of statistical analysis, trend analysis, forecasting, and quantitative methods on complex business questions.
• Track record of turning complex data into clear business insights, recommendations, and executive-level communication.
• Experience leading complex analytics initiatives and working with HR, IT, Finance, and other business functions.
• Ability to work effectively with global teams across time zones.
• Ability to travel occasionally for team meetings, planning sessions, or other business needs.
• Preferred: Experience with Python or R, predictive modeling, machine learning, or advanced statistical techniques.
• Preferred: Familiarity with Snowflake, Databricks, Microsoft Fabric, Azure, or similar enterprise data platforms.
• Preferred: Experience supporting workforce planning, talent strategy, or other advanced People Analytics use cases.
• Preferred: Experience in a global or multinational organization.
• Preferred: Strong data storytelling and visualization skills, with the ability to turn complex analysis into clear insights and recommendations.
• Preferred: Solid business acumen and the ability to connect workforce trends to broader organizational and business outcomes.
• Preferred: Strong analytical and statistical reasoning, including structuring complex questions, choosing suitable methods, and interpreting results.
• Preferred: Solid grasp of data modeling, business intelligence, and data governance, with the ability to build reliable solutions from complex, cross-system data.
• Preferred: Excellent communication skills, with the ability to engage and influence both business and technical audiences.
• Preferred: Strong consulting and stakeholder management, including building relationships, challenging assumptions, and influencing decisions across functions.
• Preferred: Strong project management and organization, including managing competing priorities and leading initiatives across teams without direct authority.
• Preferred: Commitment to data quality, accuracy, privacy, security, and responsible handling of sensitive workforce information.
• Preferred: Proactive, curious, and collaborative, with a continuous improvement mindset and a willingness to mentor others.
• Professional proficiency in English, written and spoken, is required.

Conditions

The role is hybrid, with flexibility to work across global teams and business hours as needed.

Occasional travel to company offices or other locations may be required.

The compensation range is $101,040.00 to $161,700.00. Actual pay depends on factors including skills, experience, qualifications, and geographic location.

The company welcomes applicants from all backgrounds and is committed to an equitable and inclusive workplace.

Benefits

• Eligible for restricted stock unit (RSU), restricted cash unit (RCU), and cash bonus programs.
• Benefits include medical, dental, and vision coverage, supplemental life and AD&D insurance, short- and long-term disability, healthcare and dependent care flexible spending accounts, and a company match on eligible 401(k) contributions.