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 the Role

We are looking for a Staff Compensation & Data Analyst (IC4) to serve as the subject matter expert at the intersection of quantitative analysis, compensation strategy, HR technology, and AI-assisted analytics. In this role, you will lead the architecture, modeling, and execution of our global compensation programs while leveraging modern AI platforms and scalable data pipelines.

As a Staff level technical authority, you will drive business-critical compensation initiatives—from merit cycles and pay modeling to global equity strategy. You will partner with Finance, Legal, and Stock Administration on equity program design and governance, collaborate closely with Systems Engineering on Workday Compensation design and testing, utilize Carta for equity analytics, and leverage enterprise Generative AI platforms (Claude, ChatGPT) to accelerate data synthesis, narrative reporting, and predictive analytics.

This is a full-time remote position based in Costa Rica.

What You’ll Do

Strategic Compensation Analytics & AI-Assisted Modeling

Architect Compensation Models: Build and maintain complex models for salary band creation, market pricing, geographic differentials, and merit/promotion budget allocation using quantitative techniques and advanced spreadsheet/coding frameworks.
AI-Augmented Data Analytics: Leverage enterprise AI platforms (e.g., Claude, ChatGPT) to conduct exploratory analysis on large workforce datasets, synthesize compensation survey benchmarks, evaluate market trends, and automate repetitive data transformation workflows.
Executive & Incentive Pay: Partner with leadership to model executive total compensation, short-term incentive (STI) performance metrics, and long-term incentive (LTI) grant strategies, utilizing AI tools to generate executive-level narrative summaries and scenario analyses.

Strategic Equity Strategy & Global Program Design

Global Equity Design & Modeling: Partner with stakeholders to design and model strategic global equity frameworks,including refresh plan design, grant guidelines, vesting schedules, and budget allocations.
Stock Administration Partnership: Work in tandem with Stock Administration to establish seamless workflows for equity grant approvals, board consent materials, vest schedules, and data reconciliation between equity systems and core HRIS.
Equity Systems & Analytics (Carta): Utilize Carta and internal analytics tools to model wealth creation scenarios and executive equity usage to inform strategic compensation decisions.

Workday Partnership & Data Infrastructure

Workday Compensation Design & Rollouts: Partner closely with Systems Engineering to co-design, test, administer, and execute Workday Compensation and Advanced Compensation workflows, eligibility rules, and global merit cycle rollouts.
Data Integration & Pipeline Development: Collaborate with Systems Engineering to ensure seamless data flows between Workday, payroll systems, external survey management platforms, and analytical databases.
Custom Reporting & BI: Design, build, and audit complex Workday custom reports, matrix reports, and calculated fields to deliver real-time total rewards insights to business leaders. Use BigQuery for querying, analyzing, and transforming large-scale datasets.

Enablement, Change Management & Training

Program Enablement & Change Management: Apply structured change management principles to drive adoption of total rewards initiatives, merit updates, pay transparency changes, and compensation program rollouts.
Communications & Collateral Creation: Develop comprehensive, clear, and engaging communications materials—including manager guidebooks, FAQ docs, slide decks, and video walk-throughs—tailored to various audiences.
Stakeholder Training: Design and facilitate targeted training sessions for managers, Talent Acquisition (TA), HR Business Partners (HRBPs), and employees to build compensation and equity literacy.

Skills We’re Looking for

Experience

6+ years of progressive experience in compensation analysis, equity strategy, or People Analytics, with demonstrable mastery at a senior/principal individual contributor level.
Proven track record of designing and modeling global compensation and equity programs in partnership with Finance in a fast-paced or scaling technology environment.
Demonstrated experience with change management and driving enablement programs, including producing training collateral and leading educational workshops for cross-functional teams.

Technical & System Proficiency

Workday Compensation: Hands-on experience working directly with Workday Core Compensation and Advanced Compensation modules is required.
Carta & Equity Management: Hands-on experience or strong familiarity with Carta for cap table analytics, grant administration alignment, and LTI modeling is strongly preferred.
AI Platforms & Prompt Engineering: Experience applying Large Language Model (LLM) tools such as Claude, ChatGPT, or Microsoft Copilot to data analysis, code generation (SQL/Python/Excel formulas), or report generation is strongly preferred.
Advanced Analytics & BI: Advanced proficiency in Excel, Google Suite (VBA/macros, dynamic arrays, complex formulas) is required. Experience with BI and BigQuery tools for data modeling is a strong plus.

Core Competencies

Cross-Functional & Executive Alignment: Exceptional ability to build strong cross-functional partnerships across Finance, Legal, Stock Admin, and Systems Engineering to deliver complex total rewards solutions.
Quantitative Mastery: Deep familiarity with statistical techniques (e.g., regression analysis, distribution metrics) applied to compensation and equity datasets.
Business & Legal Acumen: Solid understanding of core compensation and equity design concepts.

Preferred Education & Certifications

Bachelor’s or Master’s degree in Data Analytics, Finance, Human Resources, or a related field.
CCP (Certified Compensation Professional) is a plus.

#LI-Remote #LI-MM1

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-compensation-analytics-partner

Career Guide for Staff Compensation & Data Analyst at Fivetran

Job Overview

The Staff Compensation & Data Analyst at Fivetran plays a critical role in designing and implementing global compensation programs. This position combines expertise in quantitative analysis, compensation strategies, and advanced data analytics to support the organization’s mission of simplifying data access.

Key Responsibilities

Architecture and Modeling: Develop complex compensation models for salary bands and budget allocations.
AI-Augmented Analysis: Utilize AI tools for analyzing workforce data and automating tasks.
Equity Strategy: Collaborate on designing global equity frameworks and ensuring smooth workflows.
Workday Integration: Partner with engineering teams to ensure effective deployment of compensation workflows in Workday.
Training and Enablement: Create training materials and facilitate sessions to educate stakeholders about compensation practices.

Required Skills and Knowledge

Technical Skills

Compensation Techniques: Understanding of salary banding, merit cycles, and equity programs.
Data Analytics: Advanced proficiency in Excel and experience with BI tools, particularly BigQuery.
Compensation Tools: Hands-on experience with Workday Compensation and Carta for equity management.

Soft Skills

Collaboration: Ability to build cross-functional relationships, particularly with Finance and HR teams.
Communication: Strong written and verbal communication skills for creating reports and training materials.
Analytical Thinker: Capability to synthesize data and provide actionable insights.

Tools and Technologies

Workday: Core Compensation and Advanced Compensation modules.
Carta: For cap table analytics and grant administration.
AI Platforms: Familiarity with tools like Claude, ChatGPT, or Microsoft Copilot.

Certifications or Training

Degrees: Bachelor’s or Master’s in Data Analytics, Finance, or Human Resources are preferred.
CCP Certification: Certified Compensation Professional is a plus.

Interview Preparation

Common Interview Questions

Can you describe your experience with compensation analysis?
- Focus on specific past roles and projects that demonstrate your analytical skills and outcomes.
How do you ensure equity in compensation across global teams?
- Share methods you use for benchmarking and ensuring fair practices.
What AI tools have you used in your analysis?
- Provide examples of how you’ve utilized these technologies to improve efficiency.
Describe a challenging project you worked on. What was your role and the outcome?
- Highlight your problem-solving skills and adaptability.
How do you collaborate with cross-functional teams?
- Discuss your communication strategies and teamwork experiences.
What methods do you use to keep up with compensation trends?
- Mention resources, networking, or professional development activities.
How do you handle discrepancies in data?
- Describe your approach to investigation and resolution of data issues.
Explain your experience with Workday or other HRIS systems.
- Detail specific projects or functions you managed within these systems.
How would you present complex data to non-technical stakeholders?
- Discuss your techniques for simplifying information for diverse audiences.
What motivates you in the field of compensation analysis?
- Share your passion for data, equity, and contributing to organizational success.

Important Topics to Review

Compensation models and strategies.
AI applications in HR analytics.
Current trends in equity compensation.

How to Increase Your Hiring Chances

CV Improvement

Tailor Your CV: Customize your CV to highlight relevant experience in compensation and data analytics.
Quantify Achievements: Use metrics to showcase the impact of your work (e.g., improved efficiency by X%).

LinkedIn Profile Optimization

Professional Summary: Write a clear summary that emphasizes your expertise in compensation and analytics.
Skills Section: Include relevant skills and endorsements, particularly for data analytics and compensation tools.

Portfolio or Project Ideas

Case Studies: Create detailed case studies of past compensation projects.
Data Analysis Projects: Showcase examples of data analysis or modeling work.

Learning Recommendations

Online Courses: Consider platforms like Coursera or LinkedIn Learning for courses on Workday, compensation strategies, and AI tools.
Networking: Join compensation and HR analytics groups to learn from peers and industry leaders.

Career Growth

Advancement opportunities may include roles such as:

Senior Compensation Manager: Leading compensation strategy for larger teams.
Director of Compensation: Overseeing compensation functions across the organization.
Chief People Officer: Taking on strategic HR leadership roles.

With ongoing professional development and impactful contributions, you can enhance your career trajectory within compensation and analytics.