Staff Data Analyst, People Analytics

About Okta and the Role

Okta is dedicated to securing all identities, from artificial intelligence systems to human users, offering trusted infrastructure that supports organizations in embracing AI safely. This mission involves tackling complex, high-stakes challenges with speed, precision, and dedication. We invite driven professionals who thrive on impactful, career-defining work to join our team.

As part of our People Analytics team, you will harness data and sophisticated analytical techniques to generate insights throughout the employee lifecycle. Collaborating closely with HR, Talent Acquisition, Finance, IT, and Legal stakeholders, you will enhance strategic workforce planning, enrich employee experiences, and empower data-informed business decisions.

Key Responsibilities

• Analyze and report workforce data across the employee journey—covering aspects like hiring, onboarding, development, attrition, engagement, performance, promotions, compensation, headcount, and organizational health—through dashboards and comprehensive reports.
• Work collaboratively with People Business Partners, Talent Acquisition, Compensation, Finance, and Centers of Excellence to provide analytics for quarterly business reviews, workforce planning, and organizational effectiveness initiatives.
• Create scalable, self-service reporting tools and dashboards to grant wide access to reliable workforce insights.
• Ensure data integrity, governance, and consistency across various HR data platforms by partnering with HR Technology and data teams.
• Convert business inquiries into analytical models and present findings via compelling visualizations and executive presentations.
• Develop, validate, and maintain predictive models addressing workforce trends, risks, and opportunities, such as attrition, forecasting, tenure, and talent pipeline analysis.
• Use advanced statistical methods including regression, clustering, forecasting, survival analysis, and segmentation to address business challenges.
• Continuously assess and adopt emerging analytics methodologies and technologies to enhance People Analytics capabilities.
• Apply Natural Language Processing techniques to analyze employee feedback from various listening avenues using topic modeling, sentiment analysis, and text analytics to extract key themes and actionable insights.
• Prototype and explore applications of Generative AI to automate narrative reports, summarize workforce trends, and improve insight delivery.
• Partner with HR Technology and analytics teams to evaluate AI-driven reporting tools that boost efficiency and decision support while ensuring governance and data privacy.

Required Qualifications

• Bachelor's degree in a quantitative field such as Statistics, Data Science, Computer Science, Analytics, Economics, Mathematics, or equivalent experience.
• Between five and eight years of professional experience in People Analytics, HR Analytics, Workforce Analytics, Data Science, or a related analytical area.

Preferred Skills and Experience

• Expertise in Tableau, Snowflake, Excel, SQL, and enterprise HR systems like Workday, ServiceNow, and Greenhouse.
• Proficient programming skills in Python and/or R for statistical analyses, predictive modeling, and automation workflows.
• Application of sophisticated statistical techniques such as regression, clustering, forecasting, text analytics, and sentiment analysis.
• Experience managing and analyzing large, complex datasets with strong data governance and management practices.
• Exceptional analytical reasoning and problem-solving aptitude with the ability to translate complex data into clear recommendations for business stakeholders.
• Advanced data visualization and storytelling skills catered to both technical and non-technical audiences.
• Proven collaboration skills to effectively work with cross-functional teams and influence decision-making through analytics.
• Familiarity with Generative AI, Natural Language Processing, and emerging AI technologies in analytic contexts is advantageous.
• Effective communication, collaboration, and project management capabilities, adept at handling multiple priorities in dynamic settings.

Success Factors

• Deliver actionable and high-quality analytics that drive improved workforce decisions.
• Build scalable tools, predictive models, and AI-based insights that positively impact organizational outcomes.
• Partner efficiently with HR and business units to address complex workforce challenges.
• Proactively seek opportunities to enhance data quality, reporting processes, automation, and analytic sophistication.
• Drive innovation and evolution within People Analytics, maintaining a strong customer focus and leveraging technical expertise.

Additional Information

Okta promotes well-being, social impact, and talent development within a connected global community of over 20 offices. The onboarding experience is immersive and in-person, designed to quickly integrate team members into Okta's mission from day one.

Okta is an Equal Opportunity Employer committed to providing fair employment without discrimination based on race, color, religion, gender, sexual orientation, identity, national origin, disability status, veteran status, or other protected characteristics. Applicants requiring accommodations during the application or onboarding process can request assistance accordingly.

Note for New York City applicants: Okta utilizes Automated Employment Decision Tools (AEDT) involving AI and machine learning to support recruitment and hiring processes, complying with local legal requirements.