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Product Analytics

About OnePay

OnePay is a consumer financial services app with an exceedingly simple mission: to help people achieve financial progress.

Tens of millions of Americans today are unbanked or underbanked, meaning they don’t have enough money in savings to cover a minor emergency. They pay too much in fees, don’t have access to credit at affordable rates, and have little ability to grow their wealth. OnePay’s vision is to create a single app for consumers to save, spend, borrow, and grow their money, bringing our mission to life with simple and accessible banking, credit, and payments products that deliver a best-in-class experience to millions of customers. Our products include:

  • Checking and high-yield savings accounts

  • Domestic and international peer-to-peer payments

  • Credit Builder and credit score monitoring

  • Digital wallet / contactless payment solutions

  • Buy-now-pay-later installment loans at Walmart

Why do we have a right to win? We have the backing of Walmart (a Fortune 1) and Ribbit Capital (a preeminent fintech investor), are deeply embedded with the distribution of the world’s largest omnichannel retailer, and have an industry-leading multi-product value proposition — all in addition to having some of the best people and talent in the industry.

There’s never been a better time to build a category-defining business and there has rarely been a team better positioned for the opportunity. Join us!

The role

As a member of the analytics team, your mandate is to bring order to vast amounts of internal and external data so OnePay can make better data-driven business decisions, faster. You’ll provide visibility into OnePay's business operations through dashboards, data models, data tests, and ad-hoc analyses. You will work closely with product, marketing, engineering, finance, and other stakeholder teams.

The role is responsible for:

  • Conducting deep-dive analyses to identify trends, patterns, and insights that can help the company make informed decisions

  • Creating reports and dashboards that effectively communicate insights and recommendations to key stakeholders in a clear and concise manner

  • Proactively seeking the “double-click” of the data in order to create compelling stories to guide strategy

  • Serving as a subject matter expert on product data and its nuanced uses

You bring

  • 4-10 years of analytical experience. We have multiple roles open at different levels.

  • 3+ years of experience in consumer financial companies, including banking and/or lending analysis.

  • Strong proficiency with SQL.

  • Proven ability to translate data into compelling visualizations with BI tools. (We use Databricks.)

  • Proven ability to work cross-functionally to translate complex data inputs into practical business guidance.

  • Proven ability to communicate clearly to technical and non-technical audiences.

  • Intellectual curiosity to look beyond the ‘what’ and answer the ‘why’.

  • An act-like-an-owner mentality. We have a bias toward taking action.


What We Offer

  • Competitive salary, stock options, and benefits from Day 1

  • Comprehensive health insurance coverage (health insurance, accident and disability insurance, term life insurance), including mental health support and wellness programs

  • Hybrid work model (Bengaluru office three days a week), various time off programs (vacation, sick, other paid leaves, and paid regional holidays)

  • Monthly transport and work-from-home allowances

  • A high-growth, mission-driven, inclusive culture where your work has real impact


We use Covey as part of our hiring process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on May 31, 2024.

Please see the independent bias audit report covering our use of Covey here.

Standard Interview Process

  • Initial Interview with Talent Partner

  • Technical or Hiring Manager Interview

  • Team Interview

  • Executive Interview

  • Offer!

Equal Employment Opportunity

To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Average salary estimate

$80000 / YEARLY (est.)
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$60000K
$100000K

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What You Should Know About Product Analytics, OnePay

At OnePay, we're on a mission to revolutionize consumer financial services, making it simpler for everyone to achieve financial progress. As a Product Analytics professional at our Bangalore office, you'll be at the forefront of this mission, turning vast amounts of data into actionable business insights that drive our product strategies. Your experience will help unveil trends and patterns that can steer OnePay toward better decision-making. You’ll work closely with cross-functional teams like product, marketing, engineering, and finance, crafting insightful reports and interactive dashboards that communicate your findings in visually compelling ways. If you have a knack for asking the right questions and a passion for transforming data into clarity and strategy, this is the perfect opportunity for you to thrive. You'll serve as the go-to expert on product data, ensuring that our teams understand the deeper narratives behind the numbers. With a minimum of 4 years of analytical experience, including at least 3 years in consumer finance, your SQL proficiency and ability to convey complex insights to both technical and non-technical audiences will be key in this role. At OnePay, we believe in fostering a culture that supports exploration and ownership, allowing your contributions to make a real impact. We're excited about the future of finance and can't wait to have you join our amazing team!

Frequently Asked Questions (FAQs) for Product Analytics Role at OnePay
What are the primary responsibilities of a Product Analytics professional at OnePay?

The primary responsibilities of a Product Analytics professional at OnePay include conducting deep-dive analyses to identify trends within large datasets, creating reports and dashboards to communicate insights to stakeholders, and serving as a subject matter expert on product data. This role is pivotal in helping the company make informed, data-driven decisions.

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What qualifications are necessary for the Product Analytics position at OnePay?

To qualify for the Product Analytics position at OnePay, candidates should have 4-10 years of analytical experience, with at least 3 years in consumer financial services. Proficiency in SQL and a strong capability to create compelling data visualizations using BI tools like Databricks are essential. Additionally, candidates should demonstrate robust communication skills, both technical and non-technical, along with an intrinsic curiosity about data.

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What tools will a Product Analytics employee use at OnePay?

A Product Analytics employee at OnePay will primarily use SQL for data extraction and analysis, along with BI tools such as Databricks for visualization. These tools enable the employee to present data in a way that is easily understandable for versatile audiences across the organization.

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How does OnePay value teamwork in the Product Analytics role?

At OnePay, teamwork is highly valued, especially for the Product Analytics role, as collaboration with product, marketing, engineering, and finance teams is fundamental. The role requires proactive engagement across functions to ensure that data insights are effectively translated into strategic business actions.

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What is the work culture like for a Product Analytics professional at OnePay?

The work culture for a Product Analytics professional at OnePay is designed to be inclusive, mission-driven, and fast-paced. We encourage a high-growth mindset, intellectual curiosity, and a desire to make a genuine impact through data. Team members are empowered to take ownership of their work and enable the company to deliver exceptional financial services.

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Common Interview Questions for Product Analytics
Can you describe your experience with SQL and how you have used it in previous roles as a Product Analyst?

When answering this question, emphasize specific projects where you utilized SQL to extract and manipulate data. Discuss how you employed these skills to derive insights that led to strategic decision-making and enhance product performance.

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How do you approach data visualization, and what tools do you prefer?

In your response, mention your preferred tools like Databricks or Tableau and explain your methodology for creating meaningful visualizations that effectively convey data stories. Highlight any specific examples where your visualizations influenced business outcomes.

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Describe a time you identified a trend from data analysis and how it shaped a business decision.

Provide a detailed example of a situation where your analysis led to actionable insights. Explain the skills you used, the stakeholders involved, and the resulting impact on the product or company strategies, underlining your critical thinking and analytical prowess.

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How do you ensure your analyses are understandable to both technical and non-technical team members?

Discuss your approach to simplifying complex data concepts and using clear, concise language in your reports. Highlight any techniques like visual storytelling and data mapping you use to bridge the gap between technical and non-technical audiences.

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What steps do you take when confronted with incomplete or unclear data?

Outline your problem-solving methodology, including how you might seek additional data sources, validate existing data, or clarify objectives with stakeholders to ensure that your analysis remains robust and reliable.

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How do you manage competing priorities and deadlines in your workflow as a Product Analyst?

Share your strategies for time management, prioritization, and organization in your daily tasks. Discuss tools or frameworks you use to keep track of deadlines and ensure all analysis is delivered on time.

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Can you explain a complex dataset you’ve worked with and how you derived insights from it?

Select an example that showcases your analytical skills. Talk through the approaches you took to analyze the dataset, the tools employed, and how your insights contributed to informing decision-making.

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What role do you think data plays in driving business strategy at OnePay?

In your answer, emphasize the importance of data in shaping product improvements, identifying user needs, and strategically positioning OnePay within the competitive landscape. Discuss your passion for data-driven strategies.

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How do you approach collaboration with other teams when working on a project?

Describe your collaborative mindset, focusing on communication, feedback loops, and integration with different departments. Provide an example of a successful cross-functional collaboration that enhanced project outcomes.

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What interests you most about working at OnePay in the Product Analytics role?

In your response, demonstrate your enthusiasm for OnePay’s mission and how it aligns with your professional values. Highlight your interest in working in a fast-paced, innovative environment where you can directly impact consumers' financial well-being.

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DATE POSTED
March 22, 2025

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