The opportunity
We're looking for a Senior/Staff Data Scientist to join our growing Data team and serve as a strategic analytics partner across Render. As we scale, we're tackling increasingly complex questions across our product, customers, and business, from how developers discover and adopt…
What you'll do
Serve as a strategic analytics partner. Work closely with leaders and: cross-functional partners across Product, Engineering, Growth, Go-to-Market, Finance, and other teams to identify high-impact questions, frame decisions, and determine how success should be measured.
Define meaningful metrics and measurement frameworks. Develop the KPIs and: frameworks teams use to understand performance across areas such as acquisition, activation, adoption, engagement, retention, conversion, expansion, and customer outcomes.
Turn data into strategy. Surface patterns across our users, customers,: products, and business. Identify opportunities, diagnose friction, and help teams determine where to invest and what to prioritize.
Shape our approach to experimentation and evaluation. Design and analyze: experiments where appropriate, develop guardrail metrics and other methods for evaluating initiatives, and help teams choose the right analytical approach for the decision at hand.
Build measurement into how we work. Partner with teams to define: instrumentation and measurement plans early, ensuring new products, programs, and initiatives can be evaluated reliably after launch.
Build trusted analytical foundations. Build and maintain dbt models, semantic: and context layers in partnership with Analytics Engineering, transforming behavioral and business data into reliable datasets that support decision-making across Render.
What they're looking for
- + years of analytics experience, with a track record of shaping strategy and: influencing decisions across complex or ambiguous problem spaces.
- Strong business and product judgment. You can take an ambiguous question,: identify what really needs to be understood, and determine the right analytical approach to inform a decision.
- Experience defining and using metrics across some combination of Product,: Growth, Go-to-Market, Finance, or other business domains, for example acquisition, activation, adoption, engagement, retention, conversion, expansion, or revenue.
- Strong SQL skills. Writing complex, efficient SQL and independently exploring: large datasets is a core part of how you work.
- Experience using experimentation, statistical analysis, or other rigorous: evaluation methods to understand impact, along with judgment about when each approach is appropriate.
- Experience with modern analytics tooling such as Metabase, Mixpanel, dbt, BigQuery, Segment, and Git.
- A track record of influencing cross-functional teams and senior leaders: without direct authority. You're comfortable challenging assumptions, creating clarity from ambiguity, and driving alignment around what the data says.
- Excellent communication skills. You can turn complex analysis into a clear: narrative, explain technical concepts to non-technical audiences, and build the relationships necessary to drive action.
