Headquarters: CRI – Remote
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re looking for a an Analyst to join our GTM Analytics team, where we turn data into the insights that shape decisions across Sales, Strategy, RevOps, Marketing, Deal Desk, and more. Most of your work will be answering business questions directly — pulling and structuring data, summarizing it clearly, and delivering a recommendation. When a request genuinely calls for a dashboard, you’ll help scope the requirements and hand them off to our central data team to build.
In this role, you’ll work on well-scoped, clearly framed requests — writing SQL to pull data, looking up how a metric is already built in Looker or Omni when one exists, using Claude to refine and debug your queries, and shaping the output in Excel or Google Sheets into something a stakeholder can act on. This is a developmental role: as you build experience, you’ll take on progressively more ambiguous and higher-stakes requests.
This is a full-time position based out of our Costa Rica office.
Technologies You’ll Use
SQL, Excel and/or Google Sheets (pivot tables, lookups, formulas), Claude (or similar AI assistants), Salesforce (viewing/reading data) — exposure to BI tools like Looker, Omni, Sigma, or Hex is a plus
What You’ll Do
- 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 We’re Looking For
- 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
Bonus Skills
- Experience building in BI or exploratory-analysis tools like Looker, Omni, Sigma, or Hex (not required — happy to teach this on the job)
- Familiarity with Salesforce
- Prior internship or role in analytics, RevOps, or FP&A
- Basic Python
#LI-MM1 #LI-Remote
Perks and Benefits
- 100% employer-paid medical insurance*
- Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
- RSU stock grants*
- 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.
*May vary by country and worker type – please reach out to your recruiter for more information
Click here to learn more about Fivetran’s Benefits by Region.
We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.
To learn more about our candidate privacy policy, you can read our statement here.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don’t hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
To apply: https://weworkremotely.com/remote-jobs/fivetran-analyst-gtm-analytics
Career Guide for Analyst – GTM Analytics at Fivetran
Job Overview
The Analyst role in the GTM (Go-To-Market) Analytics team at Fivetran is focused on analyzing data to generate insights that help various departments make informed business decisions. This position involves pulling and organizing data, creating clear summaries, and delivering actionable recommendations. As you gain experience, you will tackle more complex and ambiguous requests.
Key Responsibilities
- Write and adapt SQL queries based on defined data requests.
- Pull, clean, and structure data to answer stakeholder questions effectively.
- Summarize data findings for non-technical stakeholders in clear, straightforward language.
- Validate data accuracy to ensure reliable outputs.
- Maintain documentation for recurring requests and their logic.
- Collaborate with senior team members for more complicated analytical tasks.
Required Skills and Knowledge
Technical Skills
- SQL: Basic to intermediate knowledge of SQL, including functions like SELECT, JOIN, and GROUP BY.
- Data Manipulation: Proficiency in Excel and/or Google Sheets, including pivot tables and formulas.
- Familiarity with BI Tools: Exposure to tools like Looker, Omni, Sigma, or Hex is beneficial but not mandatory.
Soft Skills
- Communication: Ability to articulate findings and insights clearly to both technical and non-technical stakeholders.
- Attention to Detail: Strong focus on data accuracy and thoroughness.
- Questioning: Comfortable asking clarifying questions to fully understand requests.
Tools and Technologies
- SQL
- Excel/Google Sheets
- AI Tools (like Claude)
- Salesforce
Certifications or Training
- Any courses in SQL or data analytics can enhance your profile.
- Familiarity with BI tools or data visualization can be a plus.
Interview Preparation
Common Interview Questions
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What experience do you have with SQL?
- Tip: Highlight specific projects where you used SQL to solve problems or generate insights.
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How do you ensure data accuracy?
- Tip: Discuss methods you use for validation and cross-checking data sources.
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Can you describe a time when you had to explain complex data to a non-technical audience?
- Tip: Provide a specific example and emphasize your communication skills.
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What tools do you prefer for data analysis and why?
- Tip: Mention your proficiency in specific tools and relate them to the needs of the role.
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How do you prioritize requests from multiple stakeholders?
- Tip: Talk about your organizational skills and how you assess urgency and importance.
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Tell us about a challenging analysis you have conducted.
- Tip: Frame it as a situation-action-result scenario focusing on your problem-solving skills.
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How comfortable are you using AI tools for data analysis?
- Tip: Share experiences where you used AI tools to enhance your analysis.
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What is your approach to learning new tools or technologies?
- Tip: Discuss your self-learning processes or training examples.
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Have you ever made an error in your analysis? How did you handle it?
- Tip: Acknowledge mistakes, and focus on your learning and corrective actions.
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What attracts you to the Analyst position at Fivetran?
- Tip: Research the company’s values and how they resonate with your career aspirations.
Important Topics to Review
- Data Analytics Basics
- SQL Functions and Uses
- Data Visualization Techniques
- SaaS and Business Metrics
How to Increase Your Hiring Chances
CV Improvement
- Tailor your CV to highlight specific experiences related to SQL and data analysis.
- Use action verbs and quantify achievements (e.g., “Improved reporting efficiency by 30%”).
LinkedIn Profile Optimization
- Ensure your LinkedIn profile reflects relevant skills and experiences.
- Join data analytics groups and engage with content to increase your visibility.
Portfolio or Project Ideas
- Create a project showcasing your SQL skills, perhaps by analyzing a dataset and summarizing insights.
- Consider building a GitHub repository to display your coding and analytical projects.
Learning Recommendations
- Invest in online courses related to SQL, data analysis, or BI tools.
- Follow data analytics blogs and YouTube channels to stay up-to-date with industry trends.
Career Growth
Starting as an Analyst could lead to various career opportunities, such as:
- Senior Analyst: With experience, you’ll tackle more complex analyses and may lead projects.
- Data Scientist: With further training and skills, you can transition into advanced analytics roles.
- Analytics Manager: A management position overseeing a team of analysts in strategic planning.
- Consultant in Data Strategy: Advising organizations on data-driven decision-making strategies.
This career path offers growth in technical expertise as well as leadership skills, positioning you well in the booming data industry.
How to Apply
Apply for this position through the original job source: