Senior Data Analyst

Fivetran•Oakland, CA

7d•Hybrid

About The Position

From 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 the Role 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. If you love diving into technical systems, untangling messy datasets, and turning insight into action — this is your opportunity to make a real impact. This is a full-time, hybrid position based out of our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

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 — you know how to simplify the complex and influence decision-makers
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 Haves

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

Responsibilities

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.

Benefits

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.

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