​This is a full-time, remote Senior Data Analyst role at Calendly, focused on the Reporting Analytics function within the centralized Analytics team. The core responsibility is to design and deliver the company’s “source of truth” reporting, powering executive decision-making and performance management by developing high-quality, consistent, and accurate dashboards and metric definitions.

• ​Location: Remote (Salary Tier determined by remote work location).
• ​Salary Hiring Range (Tier 1): $173,026.68 – $203,560.80 USD
• ​Experience: 6+ years of hands-on analytics and reporting experience in SaaS, technology, or high-growth environments.
• ​Focus: Metric standardization, dashboard design and maintenance (using Hex), owning the semantic layer (dbt), and supporting executive-level business reviews (WBD, MBR, Board materials).

​Key Responsibilities: Source of Truth and Metric Governance

​The analyst serves as a critical contributor in scaling Calendly’s reporting ecosystem and ensuring organizational alignment.

• ​Executive Reporting: Design, build, and maintain official reporting dashboards in Hex that serve as inputs to the Weekly Business Digest (WBD), Monthly Business Review (MBR), Board materials, and company-wide performance dashboards.
• ​Metric Governance: Define, document, and uphold the gold standard of metric definitions across Calendly, ensuring consistency and trust in all official reporting.
• ​Data Foundation: Own and evolve the semantic layer within the data warehouse, creating the foundation for reliable, scalable, and self-serve analytics.
• ​Accuracy & Reliability: Ensure reporting accuracy and reliability, validating metrics and collaborating with Data Engineering to resolve data quality issues.
• ​Automation: Automate manual workflows to increase reporting speed, efficiency, and scalability.
• ​Cross-Functional Partnership: Collaborate closely with Finance, Sales, CX, Product, and Operations to deliver consistent, actionable insights, and support occasional deep-dive analyses.

​Required and Preferred Qualifications

​The role requires high proficiency in modern data tools and a deep understanding of the SaaS business model.

• ​Required Technical Proficiency:
  • ​Highly proficient in SQL.
  • ​Experienced working with modern data warehouses (BigQuery preferred) and transformation tools (dbt).
  • ​Expertise using Hex for building dashboards, reporting packages, and manual analysis.
• ​Core Skills: Experience defining semantic layers or centralized metric frameworks.
• ​Communication: Strong communication and data storytelling skills—able to make complex metrics and trends easy to understand for executives.
• ​Preferred Qualifications:
  • ​Strong understanding of SaaS and recurring revenue metrics (ARR, retention, funnel conversion, ACV).
  • ​Experience with scripting languages (Python/R) for analysis or automation.
  • ​Familiarity with data governance, KPI frameworks, and metric standardization.