Join Fivetran as a Senior Data Analyst in Revenue Operations

Since our inception, Fivetran has steadfastly pursued a singular mission: to simplify data accessibility to the dependability of electricity. Our innovative solutions ensure that our customers' data seamlessly integrates into their warehouses, fully prepped and query-ready, without necessitating any engineering or ongoing maintenance. As our company continues to expand, we invite you to contribute to our journey by leveraging our cutting-edge technology to drive impactful data-driven decisions.

About the Role

As a member of the Analytics team at our Oakland office, you will embrace the role of a "full-stack" analyst. This position not only covers data engineering and data science but also extends to modeling, dashboard creation, ad-hoc analysis, and active engagement with stakeholders. We are excited to offer this full-time opportunity where innovation meets industry-leading practices in analytics.

Key Responsibilities

• Develop sophisticated mathematical models to forecast Fivetran's revenue trends.
• Generate critical in-depth analyses that guide the decision-making processes of our executive team. This involves close collaboration to establish business rules and innovative metrics.
• Maintain and enhance reusable data models and dashboards, employing a modern data stack that includes tools like Fivetran, dbt, BigQuery, Looker, and Sigma.
• Design and manage a scalable, optimized, and automated data infrastructure that delivers real-time analytics across the organization.
• Facilitate training sessions for new hires and partners, fostering a robust data-driven culture within Fivetran.
• Emerge as a thought leader in the data analytics community, influencing best practices and innovation.

Skills We're Looking For

• A profound passion for data and analytics.
• Advanced proficiency in SQL with 3+ years of experience in data analysis and complex modeling.
• Proven track record using analytical skills to solve problems and inform decision-making.
• Experience with analytics tools such as SQL, Looker, Tableau, etc.
• Ability to navigate multiple competing projects with tight deadlines, showing excellent organizational and prioritization skills.
• Exceptional communication skills, both written and verbal.

Bonus Skills

• Hands-on experience with dbt.
• Proficiency in Python.
• Preferred academic background in a quantitative field such as statistics, applied mathematics, economics, computer science, or engineering.
• Experience in a fast-paced, SaaS, or B2B product environment is highly desirable.

Compensation and Benefits

Situated within the pay range of $147,200—$184,000 USD, this role offers not only a competitive base salary but also a comprehensive benefits package that includes:

• 100% employer-paid medical insurance and RSU stock grants.
• Generous PTO, sick leave, inclusive parental leave, and volunteer time off.
• Professional development opportunities, community engagement, and team-building events.
• A unique 30-day paid sabbatical every five years to pursue personal and professional aspirations.
• Access to cutting-edge mental health support and resources.

Fivetran is valued at over $5.6 billion and is built on core values such as Commitment, Integrity, and Unity. To ensure you thrive in our diverse, inclusive, and forward-thinking environment, we provide significant support and resources tailored to individual needs and circumstances.

To apply or find out more about the transformative opportunities at Fivetran, including our culture and privacy policies, visit our career page.

We strive to make our hiring process as accessible and equitable as possible. If accommodations are needed during any stage of the interview process, please make your requirements known. We are dedicated to providing reasonable adjustments to ensure a fair and successful application experience for all candidates.

Fivetran is eagerly looking forward to your application to join us as a Senior Data Analyst - Revenue, where you can make an indelible impact on our rapidly growing team and the broader data community.