Remitly
Product Analyst
Arlington Virginia, United States
Sponsorship not specified$116k-$136kDetected 15 days ago
PythonSQLData VisualizationLLMsStatisticsProduct ManagementProduct StrategyResearchCollaboration
About the role
- As a Product Analyst at Remitly Borrow, you will play a pivotal role in shaping product and customer strategy, combining rigorous analysis with hands-on product ownership.
- This role reports directly into our Principal Business Manager.
- Analyze customer behavior across the product lifecycle - acquisition, onboarding, engagement, and retention - to identify opportunities that improve the customer experience and inform product decisions.
Responsibilities
- Own a slice of the product roadmap end to end - from identifying the opportunity, to sizing the impact, to defining success metrics, to tracking results post-launch.
- Partner with Product and Engineering to design, run, and interpret A/B tests and experiments, using results to guide roadmap prioritization and feature development.
- Collaborate with Marketing on campaign measurement and attribution as needed, ensuring product and marketing efforts stay aligned.
- This creates a consistent, meaningful overlap that supports team norms and business needs.
Nice to have
- experience with marketing attribution modeling or channel performance analysis.
- A passion for solving customer problems through data, with genuine curiosity about how product decisions shape customer behavior.
- 3+ years of experience in product analytics, product management, customer analytics, or a product role, ideally within fintech, e-commerce, or similar industries.
- Experience owning a product area or initiative - from writing requirements and prioritizing tradeoffs to partnering with Engineering on delivery.
- Proficiency in SQL and experience working with large, often messy datasets from multiple sources.
- Experience designing and analyzing A/B tests and experiments, with a track record of turning results into product recommendations.
- Experience with statistical analysis and predictive modeling using Python or R.
Skills
- Expertise in data visualization tools such as Tableau or Mode.
Compensation
- The starting base salary range for this position is typically $116,000-$135,500 gross per annum.
- In the U.S., Remitly employees are shareholders in our Company and equity is part of our total compensation plan.
- Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role.
Benefits
- Flexible paid time off
- Health, dental, and vision + 401k plan with company matching
- Paid parental, medical, military and family care leave
- Mental Health & Family Forming Benefits
- Employee Stock Purchase Plan (ESPP)
- Continuing education
Company info
- Driving Innovation, Together
- At Remitly, we believe that true innovation sparks when we come together.
- Our Connected Work Culture fosters dynamic in-person collaboration, where ideas ignite and challenging problems find solutions faster.
- For corporate team members, we have an in-office expectation of at least 50% of the time monthly, typically achieved by coming in three days a week.
- Managers also have the flexibility to set higher expectations based on their team's specific needs.
- These intentional in-office moments are vital for deepening relationships, fueling creativity, and ensuring your impact is felt where it matters most.
- Remitly is an E-Verify Employer
- At Remitly, we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations.
- Remitly is an equal opportunity employer.
- We celebrate diversity and are committed to creating an inclusive environment for all employees.
- Drive customer segmentation and lifecycle analysis to identify at-risk cohorts, high-value customers, and opportunities for personalization across product and marketing touchpoints.
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This listing is sourced directly from Remitly's careers page and normalized into a canonical job model.