Sr. People Analytics Solutions Analyst

Responsibilities

• Deliver multiple People Analytics data, technology, automation, and reporting projects end to end—from requirements and solution design through build, testing, and implementation.
• Translate ambiguous business and regulatory requirements into practical, scalable technical solutions.
• Develop SQL queries, transformation logic, analytical datasets, workflows, reports, dashboards, and automation solutions.
• Perform data profiling, validation, reconciliation, testing, and defect resolution to ensure solutions are accurate, reliable, and audit-ready.
• Support high-visibility, mission-critical HR programs—including workforce transformation initiatives and regulatory programs such as EU Pay Transparency—by delivering data extraction, processing and transformation, reporting, and automation solutions that adapt to fast-changing data inputs and outputs while handling highly sensitive workforce data.
• Partner with stakeholders across People Analytics, HR Technology, Engineering, Legal, Privacy, Finance, and HR business teams to align on scope, requirements, and delivery timelines.
• Identify project dependencies, risks, data gaps, and implementation issues early, and recommend practical mitigation approaches.
• Manage assigned work within Scrum, Kanban, or hybrid Agile delivery models, contributing to backlog refinement, sprint planning, and delivery tracking.
• Prepare technical documentation, process flows, business rules, test cases, and implementation procedures.
• Support production deployments, cutovers, stabilization, and post-launch issue resolution.
• Follow established Data Governance, Privacy, Security, and compliance standards across all solution delivery.
• Recommend practical solutions that balance speed, scalability, controls, and maintainability.
• Manage multiple concurrent initiatives with limited supervision, prioritizing effectively across competing demands.
• Create reusable frameworks, templates, automation components, and analytical assets that improve team velocity and consistency.

Qualifications

• Basic Qualifications: 5+ years of relevant experience in data analytics, business intelligence, analytics engineering, technical program delivery, or related data and technology disciplines. 8+ years of overall experience in data, analytics, business intelligence, technology, systems, or related functions. BA/BS degree in Computer Science, Information Systems, Analytics, Engineering, or a related field, or equivalent practical experience. Hands-on experience with SQL and data analysis.
• PREFERRED Qualifications: Experience delivering technical or analytics projects in a large, matrixed organization, preferably within HR, People Analytics, or workforce-related domains. Hands-on experience with several of the following technologies (deep expertise in every tool is not necessary): SQL/T-SQL, Python, Alteryx, Power BI, Power Apps, Power Automate, and Excel-based analytical solutions. Understanding of ETL processes and data pipelines, with hands-on experience in data modeling, reporting and dashboard development, and data reconciliation and validation. Experience with cloud-based data and analytics platforms such as Databricks, Azure, or similar ecosystems. Familiarity with APIs and system integrations. Experience working in Agile delivery models, including Scrum and Kanban, and related delivery tools and practices. Demonstrated ability to operate in ambiguity—quickly evaluating a business problem, determining an appropriate technical approach, and building the solution directly. Problem-solving and troubleshooting skills, with a pragmatic, outcome-oriented approach. Ability to manage multiple concurrent workstreams and remain accountable for outcomes, not just activities. Experience creating written documentation and communicating with business and technical audiences. Understanding of data privacy, security, and compliance considerations when working with sensitive workforce data.