Senior Analytics Engineer

Summary

Join Calendly's Engineering team as a Senior Analytics Engineer and lead data initiatives for the Go-To-Market (GTM) function. You will own the GTM data ecosystem, driving high-impact customer engagement and revenue. This role involves collaborating with various teams to optimize GTM strategy and building a data foundation for lifecycle marketing. You will leverage tools like Hightouch and dbt to create and maintain data assets. The position requires extensive experience in data engineering, SQL, and working with SaaS GTM data. Calendly offers a competitive salary and benefits package.

Requirements

• 5+ years of experience working with a SaaS company, partnering with the GTM domain, and building data products in a cloud data warehouse (BigQuery, Snowflake, Redshift, Databricks, etc.)
• Expert SQL skills with strong attention to data accuracy and integrity
• Experience owning a dbt project with engineering best practices (e.g., unit testing, data quality checks, reusable building blocks, etc.)
• Hands-on experience with Segment for web event tracking and customer data integration
• Proficiency in data modeling to meet business and GTM needs for today, and beyond
• Ability to diagnose data issues proactively and build trust in data across GTM teams
• Experience with website experimentation (A/B testing, personalization, CRO analysis)
• Experience with Salesforce, Braze, and paid ad platforms, ensuring seamless GTM data flow
• Experience implementing and driving adoption of data quality tools, like Monte Carlo, or similar anomaly detection tool
• Strong growth mindset—you understand how data drives revenue, acquisition, and retention
• Authorized to work lawfully in the United States of America as Calendly does not engage in immigration sponsorship at this time

Responsibilities

• Design scalable queries and data syncs to provide customer traits, event data, and insights for GTM teams
• Build customer journey models to drive lead prioritization, retention strategies, and precision targeting
• Support web, CX, and content teams in implementing and analyzing experiments, personalization, and conversion optimizations
• Drive adoption of Monte Carlo for GTM data monitoring and issue resolution, ensuring high trust in insights
• Ensure timely and reliable data availability across Salesforce, Braze, Segment, and paid media platforms
• Establish data governance and analytics engineering (AE) best practices, aligning with the core data platform and Analytics teams
• Collaborate closely with Marketing, Sales, CX, Ops, and Analytics teams to ensure data is leveraged effectively for business decisions

Preferred Qualifications

• R or Python is a plus
• Experience with version control systems like Github, Bitbucket, Gitlab, etc (bonus for CI/CD pipeline management)

Benefits

• Quarterly Corporate Bonus program (or Sales incentive)
• Equity awards
• Competitive benefits