Senior Data Analyst (People)

We’re hiring a Senior Data Analyst to support our People organization, using data to help Fivetran attract, develop, engage, and retain exceptional talent as we scale. You’ll work across the employee lifecycle — from recruiting and workforce planning to employee experience, learning and development, performance, and retention — turning complex people data into insights that shape how we build and support our teams. This is a high-impact, highly cross-functional role for someone who enjoys operating at the intersection of data, people, and strategy.

You’ll partner closely with leaders across People, Recruiting, Finance, and the broader business to answer important organizational questions, develop scalable analytical frameworks, and improve how decisions are made.

• Define and own our core People metrics: Establish clear definitions and reporting across areas such as headcount, hiring, retention, organizational health, employee experience, and talent development.
• Build scalable analytical products: Create canonical datasets, models, and self-service tools and dashboards that enable People teams and leaders to answer important questions quickly and consistently.
• Serve as a trusted thought partner: Translate analyses into clear narratives and recommendations for audiences ranging from functional operators to senior executive leadership.
• Work closely with our Engineers: Improve Fivetran’s own HRIS and ATS connectors.
• Set a high bar for responsible People Analytics: Help establish strong practices around data quality, integrity, governance, privacy, appropriate access, and the responsible use of sensitive employee data.
• Turn people data into decisions: Analyze complex and disparate datasets to identify trends, surface opportunities, and provide actionable recommendations to People leaders and business stakeholders.
• Shape our analytics culture: Mentor other analysts and partners, establish analytical best practices, and help People teams develop stronger data fluency and decision-making habits.

Technologies You’ll Use: SQL (BigQuery / Snowflake), Dbt / dbt State, Looker / LookML, Sigma / Hex / Google Sheets, Claude Code / Codex, HRIS, ATS, and other People systems and data sources.

Qualifications:

• Strong analytical judgment and a track record of translating ambiguous business questions into structured analyses and actionable recommendations.
• Comfort operating in ambiguity, developing hypotheses, and owning analytical problems end-to-end.
• 5+ years of experience in analytics, data science, business intelligence, or a related analytical role.
• Excellent communication and data storytelling skills; you can make complex findings intuitive and help decision-makers understand not just what is happening, but why it matters and what to do next.
• A builder mindset: you look beyond answering one-off questions and create frameworks, datasets, and tools that make future decisions faster and better.
• Exceptional attention to detail and a high bar for data quality, analytical rigor, and reproducibility.
• Experience using analytics to support key business decisions, preferably at a high-growth, SaaS, or B2B product company.
• Advanced proficiency in SQL and data modeling, with experience working across large, complex datasets.
• Strong cross-functional instincts and the ability to build trusted relationships with both technical and non-technical partners.
• Experience using Looker, Tableau, Sigma, or similar business intelligence and visualization tools.
• Passion for using data to improve how organizations attract, develop, and support their people.
• Experience in People Analytics, workforce analytics, recruiting analytics, HR strategy, or another People-related analytical function.
• Familiarity with HRIS, ATS, performance management, engagement, or learning systems.