Senior Data Analyst, GTM

Sanity•,

21h•Hybrid

About The Position

Sanity.io is seeking a Senior Data Analyst to join their team. This role will focus on delivering high-impact analysis to support Revenue, Marketing, and Finance teams, enabling data-driven decision-making. The analyst will delve into complex datasets, identify trends, and translate findings into actionable insights to influence business strategy. Key responsibilities include partnering with GTM and Finance stakeholders, developing and maintaining dashboards, collaborating with Data Engineering, defining key metrics, communicating findings to leadership, managing analytical projects, and improving analytical workflows and reporting standards.

Requirements

4+ years of experience in Data Analytics, Business Intelligence, or a highly analytical role such as strategic consulting or investment banking, with deep exposure to Marketing, Revenue, or Finance data.
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) and modern data stack tooling (e.g., dbt, Google Big Query).
Demonstrated ability to work independently in ambiguous, fast-changing environments, driving analytical work end-to-end from problem framing through implementation and iteration.
Solid grasp of data modeling principles, including the ability to define metrics, enforce business logic, and contribute meaningfully to how data is structured upstream.
Excellent communication skills, including the ability to present complex findings to non-technical audiences and influence strategic decisions with data-backed recommendations.
Proven ability to navigate competing stakeholder priorities, drive alignment across functions, and engage effectively in cross-functional environments.

Responsibilities

Partner with Revenue, Marketing, and Finance stakeholders to understand business needs, define analytical requirements, and deliver insights that drive decision-making across the organization.
Own the development and maintenance of dashboards and self-service analytics that give stakeholders clear, trusted visibility into business performance.
Collaborate with Data Engineering and Analytics Engineering to ensure data quality, consistency, and documentation across datasets.
Define and maintain key metrics and business logic in collaboration with stakeholders, ensuring alignment on a single source of truth.
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.