About the Role
GoTo is looking for a Senior People Analytics Specialist who is passionate about turning people data into meaningful insights and better decisions.
In this role, you will bridge the gap between People, Data, and Business, helping leaders understand not just what is happening within our workforce, understanding the “why” behind the numbers, and translating insights into actionable recommendations that shape our people strategy.
If you love diving into data, asking thoughtful questions about workforce trends, and translating numbers into clear narratives that drive talent strategy, this role is for you.
What Will You Do
- Analyze key workforce metrics (retention, engagement, hiring, diversity, performance) to identify trends, anomalies, and opportunities.
- Conduct analysis to uncover root causes behind workforce issues such as attrition spikes and hiring bottlenecks.
- Structure and maintain recurring headcount dashboards and ad-hoc report requests.
- Translate raw talent data into digestible insights, executive summaries, and visual stories for HR Business Partners and business leaders.
- Work closely with HR teams (TA, L&D, Total Rewards) to understand their operational challenges and define data-driven solutions.
- Query and extract data efficiently using SQL and spreadsheets.
- Ensure data privacy, governance, and strict confidentiality when handling sensitive employee information.
- Audit and maintain high data accuracy across human resource information systems (HRIS).
What Will You Need
3-5 years of experience in data analysis, with a strong preference for experience within an HR context (e.g., HR Generalist with strong analytical flair, People Operations Analyst, or Talent Data Analyst).
Deep understanding of HR metrics, talent lifecycles, and employee engagement frameworks.
Adept in SQL: Ability to write clean queries, joins, and aggregations to extract data from the Data Warehouse.
Advanced Spreadsheet Skills: Proficient in Excel or Google Sheets (e.g., INDEX/MATCH, XLOOKUP, Pivot Tables, data validation, complex nested formulas).
Analytical Approach: Strong diagnostic mindset and curious about the why behind data trends, not just reporting the numbers.
Data Storytelling: Ability to present technical data clearly to non-technical stakeholders in a conversational, actionable way.
Strong business acumen and ability to connect people insights with business priorities.
High level of discretion, empathy, and judgment when handling confidential people data.

