Senior Data Analyst, People
fivetran
Job Score
90 ptsFrom Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About This Role
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.
This is a full-time, flexible hybrid position based out of our Oakland, CA or NYC, NY office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration. There is no mandate on the number of days required but we encourage employees to come in every week to collaborate.
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
What You’ll Do
- 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 to 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.
Skills We’re Looking For
- 5+ years of experience in analytics, data science, business intelligence, or a related analytical role
- Advanced proficiency in SQL and data modeling, with experience working across large, complex datasets
- Experience using Looker, Tableau, Sigma, or similar business intelligence and visualization tools
- Strong analytical judgment and a track record of translating ambiguous business questions into structured analyses and actionable recommendations
- Exceptional attention to detail and a high bar for data quality, analytical rigor, and reproducibility
- 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
- Comfort operating in ambiguity, developing hypotheses, and owning analytical problems end-to-end
- Strong cross-functional instincts and the ability to build trusted relationships with both technical and non-technical partners
- A builder mindset: you look beyond answering one-off questions and create frameworks, datasets, and tools that make future decisions faster and better
- Passion for using data to improve how organizations attract, develop, and support their people
- Experience using analytics to support key business decisions, preferably at a high-growth, SaaS, or B2B product company
Bonus Skills
- 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
#LI-HYBRID #LI-DJ1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Perks and Benefits
- 100% employer-paid medical insurance*
- Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays (including a year end Global Week of Rest), and volunteer days off
- RSU stock grants*
- Professional development and training opportunities
- Company virtual happy hours, free food, and fun team-building activities
- Monthly cell phone stipend
- Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*May vary by country and worker type - please reach out to your recruiter for more information
Click here to learn more about Fivetran's Benefits by Region.
We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.
To learn more about our candidate privacy policy, you can read our statement here.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
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The Data field has undergone a radical transformation with the rise of Generative AI. Data professionals are fundamental for evidence-based decision-making across all industries.
Key specializations include Data Engineering, Data Science, Business Intelligence, Machine Learning Engineering, and Analytics. Tools like SQL, Python, Spark, dbt, and cloud platforms (AWS, GCP, Azure) are essential.
The data market continues with high demand and salaries among the most competitive in the technology sector, with many remote work opportunities.
About Business Intelligence
Business Intelligence (BI) is the area responsible for transforming raw data into strategic information for decision-making. BI professionals build dashboards, reports, and analyses that help companies understand their performance and identify growth opportunities.
Key skills include data modeling (star schema, snowflake), ETL (extraction, transformation, loading), advanced SQL, BI tools (Power BI, Tableau, Looker), data warehousing, KPIs, and business metrics analysis (MRR, churn, cohort). Knowledge of dbt, Airflow, and data pipelines is a differentiator.
BI professionals in technology companies are highly valued, especially those who master data visualization, analytics engineering, and can translate complex data into actionable insights for the business. The field offers opportunities from BI analyst to head of data, with a focus on data-driven decision making.
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