Define and maintain analytics-ready datasets and metrics that reflect business processes and support effective analysis and reporting
Enable self-serve analytics by improving data clarity, accessibility, and documentation
Ensure data quality by validating data, identifying inconsistencies, and partnering with engineering teams to maintain high data integrity
Define, document, and maintain core business metrics and definitions to ensure consistent and trusted reporting
Partner closely with Product and cross-functional teams to ensure end-user data is accurate, well-defined, and fit for analysis
Support Product and GTM teams with actionable insights through thoughtful analysis and high-quality dashboards

Minimum 4 years of experience in data analytics, business intelligence, or related analytical roles
Strong proficiency in SQL and Python, with hands-on experience writing and optimizing complex analytical queries in modern cloud data warehouses.
Experience with data modeling and analytics engineering practices (e.g., dbt), and version-controlled analytics development using Git and CI/CD
Experience building analytics in BI platforms (Omni, Looker, Metabase, Tableau etc…)
Experience partnering with cross-functional stakeholders to understand business questions and translate them into analytical requirements
Strong understanding of data modeling concepts and metric definition to ensure consistent and trusted reporting
Excellent analytical and problem-solving skills, with a keen ability to troubleshoot and resolve data-related issues
Effective written and verbal communication and strong attention to detail
Previous work experience for a SaaS company is considered an asset.
Adept at leveraging AI to enhance productivity.

Unlimited Vacation: Recharge when you need to.
Comprehensive Benefits: Extended health coverage, dental, vision, travel, and life insurance.
Wellness Account: Empowering you to invest in your overall well-being and lifestyle.
Employee & Family Assistance Plan: Resources to support you and your loved ones.
Flexible Work Schedule: Balance your work and personal life.
Remote-First, In-Person Friendly: Options to work from home or at our local hub.
Learning & Development Budget: Invest in your long-term growth goals and skills.
Work from Home Budget: Equipping you with the tools and support for a seamless remote work experience.
Access to Cutting-Edge AI Tools: Work with the best AI tech stack in the industry.
Hands-On with LLMs: Enhance your expertise in leveraging large language models.
A Thriving Industry: Join the forefront of innovation in AI, shaping the future of technology.

Senior Data Analyst

Key skills