Product Analyst

Description

You will hold the data science strategy for one of the company's new initiatives, acting as the senior data partner as new financial products move from early exploration to wide adoption.

The work involves open-ended, 0-to-1 problems. You will set up the insights, measurement frameworks and analysis that shape product strategy, investment calls, risk trade-offs and long-term growth.

The company is a digital financial services business operating in Australia and New Zealand (ANZ) and the US. It offers point-of-sale credit and digital payments to millions of customers through tens of thousands of merchants.

This role is remote-first for US-based staff, with the option to work from the Manhattan office.

Responsibilities

• Examine user behavior across your assigned product funnels and turn findings into recommendations that help customers and the business.
• Work with product managers on the company's top initiatives, checking results against their hypotheses.
• Share funnel findings and recommendations early with product, design and engineering partners.
• Run the weekly reporting on key funnel metrics and product analytics, investigating discrepancies and reconciling them or escalating when needed.
• Build and maintain the product analytics catalog so the data stays structured and ready for decisions.
• Keep the broader analytics team informed and flag upcoming work to the data organization.
• Maintain the A/B testing catalog and keep it current with clear, actionable experiment learnings.
• Create and maintain a central repository of competitor funnel screenshots and research.

Requirements

• Bachelor's degree in a relevant field such as business, economics, computer science or data analytics.
• 2+ years in product analytics, product operations or growth, ideally in tech or fintech.
• Hands-on analytics experience at a fintech or e-commerce company, with examples of finding funnel opportunities that improved customer and business outcomes.
• A track record of turning complex data into clear insights that guide decisions.
• Strong SQL skills for writing, validating and troubleshooting queries.
• Proficiency in at least one visualization tool, such as Looker, Tableau or Amplitude.
• Familiarity with experimentation frameworks and experience reading A/B test results.
• Strong communication skills, with experience presenting data to influence stakeholders.
• A highly organized, systems-minded approach to building catalogs and documentation that scale.
• Curious and collaborative, comfortable working with many stakeholders.
• You have demonstrated how you use AI in your work.
• Bonus: experience with competitive research or user journey mapping.
• Advanced degree or formal training in data analytics or product strategy is a plus.

Conditions

Remote-first for US-based employees, with the option to work in person at the Manhattan office.

The annual base pay range is $100K - $115K, based on US national compensation. Additional premium percentages may apply under the tiered premium strategy.

Base pay is set individually using job-related knowledge, skills, experience, location, internal equity and other objective business factors.

The total package may also include a bonus and/or equity awards, plus medical, financial and other benefits.

This is an at-will position. The company may change base pay, other discretionary pay, or benefit programs at any time, based on individual or team performance and market conditions.

The company welcomes applicants of all ages, cultural backgrounds, sexual orientations, gender identities, abilities and veteran status, and will make reasonable adjustments in the process on request.

Benefits

• Flexible working culture and incentive programs.
• Unlimited PTO and generous paid parental leave.
• Leading family support policies.
• Company-sponsored 401k match.
• Learning and wellness subscription stipend.
• Employer-sponsored medical insurance for you and your dependents, with several options fully covered by the company.
• Casual dress code at the Union Square office.