Product & Data Analytics - Fixed Term (with expected conversion to permanent)
Nova Credit - Remote
Posted Apr 24, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Product & Data Analytics - Fixed Term (with expected conversion to permanent) Remote At Nova Credit, we're on a mission to power financial inclusion globally, building a unified platform for credit and financial data that meaningfully impacts lives. Our software engineers develop innovative solutions that incorporate data integrations and advanced analytics into seamless user experiences, transforming diverse data into actionable risk insights. Join us to help unlock economic opportunities for consumers historically excluded from traditional credit systems. We foster a dynamic, inclusive environment that values diversity, intellectual honesty, and innovation, committed to supporting your professional growth. OUR TECHNOLOGY STACK We leverage Node.js, React, TypeScript, Python, PostgreSQL, and AWS to bring our products to life. For Data Analytics we use MixPanel, DataDog, Grafana and Sagemaker. THE OPPORTUNITY We're looking for a product-minded analytics leader with 5+ years of experience across product analytics, data engineering, or both, to bring structure, rigor, and creativity to how Nova Credit uses data to drive product decisions. Today, our analytics landscape spans multiple tools, inconsistent practices, and untapped potential-and we need someone who can own the path forward bringing product and data engineering lenses to our team. In this role you'll partner closely with teams across Product, Engineering, and Business Operations to establish analytics best practices, support customer-facing data processes, and bring product metrics to the forefront of decision-making. This will include not only leveraging existing tools but also building out new functionalities (Data Engineering skills will serve you well). The ideal candidate thrives in ambiguity,
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