Analytics Product Manager
Listed on 2026-02-04
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IT/Tech
Data Analyst, Data Science Manager -
HR/Recruitment
This is a Hybrid role and can be based out of any of the following locations: Gilbert, AZ, Chandler, AZ, Boulder, CO, Colorado Springs, CO, Boxborough, MA, Marlborough, MA, Roseville, MN, Morrisville, NC, Hillsboro, OR, Austin, TX, Plano, TX, or Williston, VT
You Are:You are a data-driven trailblazer who thrives at the intersection of people, technology, and business strategy. With a passion for translating complex data into actionable insights, you see the big picture while obsessing over the details that matter. You are energized by the opportunity to build foundational analytics infrastructure and processes from the ground up, shaping the future of people analytics at a world-leading technology company.
You relish collaboration and are adept at working cross-functionally—partnering with HR, IT, and business leaders to identify key questions, unlock data-driven answers, and influence organizational direction. Your communication skills enable you to translate statistical findings into compelling narratives for both technical and non-technical audiences. You are curious, adaptable, and eager to learn, always seeking out new tools, methodologies, and best practices to enhance your impact.
You thrive in fast-paced, evolving environments where your initiative and creative problem-solving abilities shine. Above all, you are committed to improving the employee experience, supporting data-informed talent strategies, and driving measurable organizational success through analytics.
- Manage the product roadmap for Visier, our internal People Analytics platform—overseeing feature development, system enhancements, and vendor relationships.
- Ensure data integrity, security, and appropriate access controls across the People Analytics environment.
- Collaborate with HR stakeholders to identify and prioritize key metrics related to employee performance, engagement, retention, and satisfaction.
- Collect, clean, and analyze data from various HR systems to uncover trends, generate insights, and drive strategic decision-making.
- Design and develop dynamic dashboards and reports that effectively communicate data findings to HR leadership and other stakeholders.
- Present insights, recommendations, and actionable intelligence in meetings and presentations to diverse internal audiences.
- Support projects related to workforce planning, inclusion and diversity, and other high-impact people initiatives.
- Continuously evaluate and implement improvements to analytics processes, tools, and data governance practices.
- Shape the foundation of Synopsys’ People Analytics function, establishing best practices and scalable frameworks for future growth.
- Empower HR and business leaders with actionable insights that inform talent management, workforce planning, and employee engagement strategies.
- Drive continuous improvement in organizational effectiveness by identifying trends and opportunities through comprehensive data analysis.
- Advance diversity, equity, and inclusion initiatives with data-driven recommendations and progress tracking.
- Enhance data literacy across the HR function, fostering a culture of evidence-based decision-making.
- Ensure the security, quality, and ethical use of employee data throughout all analytics processes.
- Bachelor's degree in HR, Business, Data Science, Psychology, or a related field.
- Strong analytical skills with a proven ability to interpret and synthesize complex datasets.
- Proficiency in data analysis tools such as Excel, SQL, or statistical programming languages (e.g., R, Python).
- Experience with data visualization tools such as Visier, Power BI, or Google Data Studio.
- Excellent written and verbal communication skills, with the ability to explain technical findings to non-technical audiences.
- Familiarity with HR systems, such as HRIS or ATS, is a plus.
- Demonstrated experience or coursework in HR analytics, workforce planning, talent acquisition analytics, or inclusion and diversity analytics preferred.
- Detail-oriented and methodical, with a commitment to data quality and accuracy.
- Collaborative and open-minded, able to work effectively with…
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