Data Analyst, Go-to-Market

About Ashby

Ashby is a rapidly growing B2B SaaS company dedicated to transforming the way organizations optimize their go-to-market strategies through innovative data solutions. Our mission is to empower sales, marketing, and customer success teams with high-quality analytics and data-driven insights that drive growth and operational excellence. With a lean, highly collaborative team and a strong emphasis on data culture, Ashby fosters an environment where curiosity, transparency, and continuous improvement are at the core of our operations. Our modern data stack includes advanced tools such as Snowflake, dbt, Fivetran, and Looker, enabling us to deliver scalable and impactful analytics across the organization. We are committed to building an inclusive workplace that values diverse perspectives and encourages professional development at all levels.

About The Role: Data Analyst, Go-to-Market

We are seeking our first embedded Data Analyst, Go-to-Market to join Ashby’s dynamic Data Team. This pivotal role offers a unique opportunity to work closely with our Revenue Operations (RevOps) organization, supporting the entire Go-to-Market (GTM) function. As an embedded analyst, you will serve as a critical bridge between data and business, owning the full analytical lifecycle from raw data to actionable insights. You will be responsible for scoping business questions, building robust data assets, designing key metrics and dashboards, and communicating insights that influence strategic decision-making. This role requires fluency in SQL, strong analytical thinking, and the ability to work collaboratively with stakeholders across sales, marketing, and customer success teams. You will contribute to maturing our analytical operating system, refining data models, and fostering a data-driven culture throughout the organization. This is an excellent opportunity for a technically proficient Data Analyst, Go-to-Market who thrives in a fast-paced, growth-oriented environment and enjoys ownership of end-to-end analytics projects.

Qualifications

• Expertise in SQL-based data analysis and data warehousing
• Strong analytical and statistical reasoning skills
• Proficiency in data visualization tools such as Looker, Tableau, or similar
• Experience building internal data products and dashboards
• Excellent written and verbal communication skills
• Attention to detail, with the ability to identify data discrepancies and anticipate complications
• Proficiency in Python, especially in data analysis and visualization domains
• Interest in working directly with business stakeholders to identify analysis opportunities
• Experience with data modeling, ideally with dbt or similar frameworks
• Background in fast-growing startups or dynamic environments is preferred
• Strong understanding of GTM motions in B2B SaaS, including sales, marketing, and customer success analytics
• Curiosity and a pragmatic approach to problem-solving
• Passion for improving data culture and operational data processes

Responsibilities

• Partner with RevOps leadership and GTM teams to scope and prioritize analytical initiatives
• Develop and maintain robust data assets, models, and pipelines to support business needs
• Create and deliver dashboards, reports, and visualizations that communicate insights effectively
• Conduct diagnostics on revenue funnels, sales efficiency, marketing cohort performance, and operational metrics
• Identify opportunities for data-driven improvements and operational efficiencies
• Collaborate with data engineering to ensure data quality, consistency, and scalability
• Assist in refining analytical standards, modeling practices, and data governance
• Work closely with stakeholders to translate business questions into technical solutions
• Contribute to the evolution of Ashby’s analytical operating system and data culture
• Present findings and insights clearly to both technical and non-technical audiences

Benefits

• Competitive salary and equity options with a 10-year exercise window
• Unlimited paid time off and encouragement to take time for personal well-being
• Minimum of 12 weeks of fully paid parental leave, with regional variations as applicable
• Generous equipment, software, and office furniture budget to support remote work
• $100/month education allowance for conferences, courses, and learning resources
• Comprehensive health insurance coverage for US employees, with high-quality supplemental options internationally
• Supportive, inclusive, and growth-oriented company culture focused on employee happiness and development

Key skills/competency

• SQL
• Data Analysis
• Data Warehousing
• Looker
• dbt
• Python
• Revenue Operations (RevOps)
• Go-to-Market (GTM)
• Stakeholder Collaboration
• Data Visualization