Analyst, GTM Analytics

Summary

Fivetran provides automated data movement and infrastructure that helps organizations build trusted foundations for analytics and AI. The Analyst will support the GTM Analytics team by using SQL, spreadsheets, and BI tools to answer stakeholder questions, validate data, summarize findings, and support reporting across Sales, Strategy, RevOps, Marketing, and Deal Desk.

Responsibilities

• Write and adapt SQL queries against well-defined requests, using Claude to refine logic and troubleshoot errors
• Look up existing metrics in Looker or Omni to understand how they're already built, and reuse that logic where it applies
• Pull, clean, and structure data in Excel or Google Sheets to answer scoped stakeholder questions
• Summarize findings into clear, plain-language takeaways for non-technical stakeholders
• Validate data accuracy against source systems before sharing outputs
• Ask clarifying questions to properly scope a request before starting work
• Escalate requests that require deeper analytical judgment to senior team members
• Maintain documentation of recurring requests and their underlying logic
• Support ad hoc reporting needs across Sales, Strategy, RevOps, Marketing, Deal Desk, among others
• Build working knowledge of dbt Labs' GTM data model (Salesforce objects, opportunity stages, fiscal calendar)

Skills

• Working knowledge of SQL (SELECT, JOIN, GROUP BY, basic aggregate functions)
• Comfortable using AI tools like Claude to write, debug, or refine queries and analysis
• Advanced Excel and/or Google Sheets skills (pivot tables, lookups, formulas)
• Clear written and verbal communication skills in English
• Basic understanding of SaaS sales concepts (opportunity stages, pipeline)
• Strong attention to detail and a habit of checking your own work
• Comfortable asking questions rather than guessing at ambiguous requests
• Comfortable navigating existing Looker or Omni dashboards to trace how a metric is defined and built
• Familiarity with Salesforce
• Prior internship or role in analytics, RevOps, or FP&A
• Basic Python
• Experience building in BI or exploratory-analysis tools like Looker, Omni, Sigma, or Hex (not required — happy to teach this on the job)

Qualifications

Must Haves

• Working knowledge of SQL (SELECT, JOIN, GROUP BY, basic aggregate functions)
• Comfortable using AI tools like Claude to write, debug, or refine queries and analysis
• Advanced Excel and/or Google Sheets skills (pivot tables, lookups, formulas)
• Clear written and verbal communication skills in English
• Basic understanding of SaaS sales concepts (opportunity stages, pipeline)
• Strong attention to detail and a habit of checking your own work
• Comfortable asking questions rather than guessing at ambiguous requests
• Comfortable navigating existing Looker or Omni dashboards to trace how a metric is defined and built
• Familiarity with Salesforce
• Prior internship or role in analytics, RevOps, or FP&A
• Basic Python

Nice to Haves

• Experience building in BI or exploratory-analysis tools like Looker, Omni, Sigma, or Hex (not required — happy to teach this on the job)

Benefits

• 100% employer-paid medical insurance
• Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays (including a year end Global Week of Rest), and volunteer days off
• RSU stock grants (may vary by country and worker type)
• Professional development and training opportunities
• Company virtual happy hours, free food, and fun team-building activities
• Monthly cell phone stipend
• Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
• A blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team