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Tech Stack
Tools & technologiesBigQueryPythonSQL
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- A highly-skilled, inspiring, and supportive team
- Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth
- A global, multi-culturally diverse group of colleagues and customers
- Comprehensive health plans and perks
- A healthy work-life balance that accommodates individual and family needs
- Competitive stock options program and location-based salary
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythondata modelingdata analysisdata visualizationdashboard developmentanalytical workflowsreporting standardsmetrics definitionbusiness logic
Soft Skills
communicationinfluencingcollaborationproblem framingindependenceadaptabilitystakeholder managementprioritizationpresentation skillscross-functional engagement