Data Analyst, Product (Senior to Staff)

Sanity•,

2d•$180,000 - $240,000•Hybrid

About The Position

Sanity.io is seeking a Senior Data Analyst to join their Product and Engineering teams. This role will focus on delivering high-impact analysis to support data-driven decision-making. The analyst will delve into complex datasets, identify trends, and translate findings into actionable insights that influence product strategy and execution. Collaboration with product managers and engineers is key, as is contributing to a data-centric culture within the Data & Analytics organization.

Requirements

4+ years of experience in Data Analytics, Business Intelligence, or a highly analytical role, with hands-on exposure to product usage data, behavioral analytics, or event-level data at a SaaS company.
Advanced proficiency in SQL, Python, and data modeling, with a proven ability to derive insights from complex datasets and translate them into compelling visualizations and dashboards.
Familiarity with semantic layer BI tools (e.g., Omni, Looker), modern data stack tooling (e.g., dbt, Google BigQuery), and event instrumentation platforms like CDPs (e.g., RudderStack, Segment).
Fluent in the core product analytics toolkit: cohort analysis, funnel and journey analysis, retention curves, and defining metrics like north star, activation, and engagement.
Demonstrated ability to work independently in ambiguous, fast-changing environments, driving analytical work end-to-end from problem framing through implementation and iteration.
Excellent communication skills, including the ability to present complex findings to non-technical audiences and turn analysis into recommendations stakeholders can act on.
Proven ability to navigate competing stakeholder priorities and drive alignment across functions.
Willingness to work an early schedule (~4 hours ahead of Pacific time) to overlap with European partners.

Responsibilities

Partner with product managers and engineering leads to frame questions, define analytical requirements, and deliver insights that shape roadmap and investment decisions.
Build cohort, funnel, and user journey analyses that explain how customers adopt Sanity, where they get stuck, and what keeps them coming back.
Collaborate with Data Engineering and Analytics Engineering to ensure data quality, consistency, and documentation across datasets.
Define and maintain Sanity's north star and product health metrics in collaboration with stakeholders, ensuring alignment on a single source of truth for how we measure activation, engagement, and retention.
Own the development and maintenance of dashboards and self-service analytics that give product teams clear, trusted visibility into product performance.
Communicate findings clearly and persuasively to cross-functional stakeholders and leadership, influencing strategic decisions with data-backed recommendations.
Manage a mix of ad-hoc and planned analytical work, balancing competing priorities while maintaining clear communication on timelines and progress.
Continuously push the quality of analytical workflows, data models, and reporting standards, contributing to a culture of rigor and excellence within the broader Data & Analytics organization.