Effortlessly centralize all the data you need so your team can deliver better insights, faster. Start for free. Backed by General Catalyst, Y Combinator and a16z.
About the role
Fivetran is building data pipelines to power the modern data stack for thousands of companies. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 5-7 years of experience in FP&A, strategic finance, revenue finance, or investment banking, with a strong focus on revenue forecasting
- Expert-level modeling skills (Excel/Sheets) with a commitment to formula-driven, driver based, auditable, well-documented models
- Experience with usage-based or consumption pricing models strongly preferred
- Ownership mindset: takes a model or process from ambiguity to a repeatable, documented workflow with minimal oversight, including QA and reconciliation to source data
- Data storytelling: translates complex data into clear insights and recommendations for senior, non-finance audiences, with strong executive presence and attention to detail
- Demonstrated ability to partner cross-functionally and influence without authority
More about this role
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.
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...
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