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Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re hiring a Senior Data Analyst to support our Engineering group and unlock insights from the rich internal data at Fivetran. This role focuses on analyzing logs and engineering performance data to drive efficiency, reliability, and smarter decision-making. You’ll lead high-impact, cross-functional projects and develop trusted relationships with engineering and product partners. You’ll define and maintain core Engineering metrics, own key data pipelines, and help shape the team’s data culture and best practices.
Job Responsibility:
Define and own Engineering metrics for product and team performance
establish benchmarks and enable monitoring through dashboards and self-serve tools
Analyze disparate datasets (e.g., logs, incidents, product telemetry, developer activity) to generate new insights and actionable recommendations
Lead cross-functional projects with PMs, engineers, and analysts across domains like: Product reliability (uptime, latency, bug frequency), Engineering and Systems Efficiency, Operational processes (SLA compliance, Support team efficiency)
Investigate anomalies and root causes, using deep dives and creative exploration across disparate datasets
Own and enhance data infrastructure for Engineering Analytics — from metric definitions to pipelines to visualizations
Shape data culture by mentoring junior analysts and establishing norms around best practices in metric design, analysis quality, and data storytelling
Requirements:
4+ years of experience analyzing data
Advanced proficiency in SQL and data modeling
fluency with large, complex datasets
Experience using Looker, Tableau, or other BI tools
Strong attention to detail and a track record of analytical rigor
Excellent communication and storytelling
Comfortable taking ownership of ambiguous problems and designing end-to-end solutions
Demonstrated success using analytics to drive decisions in a technical or product-focused environment
Passion for building data products that drive business and operational impact
Nice to have:
Experience working with log-level data, observability tools, or system performance metrics
Proficiency in Python or R for deeper analysis and automation
Background in B2B SaaS, developer platforms, or infrastructure tooling
What we offer:
100% employer-paid medical insurance*
Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, 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