Opportun
Other Open Roles
- Director, Data Science (R12659)
- Senior Data Engineer
- Senior Manager, Data Science (R12658)
- Strategy and Data Analytics - Senior Analyst R12402
- Manager, Product Analytics
Prior Listings
- Manager, Product Analytics
- Business Analyst
- Staff Analytics Engineer- Manager
- Sr. Data Scientist, Model Risk Management
- Data Engineer
- Sr. Data Engineer
- Senior Data Scientist
- Principal Engineer - Data Engineering
- Staff Data Engineer
- Manager, Data Science
- Staff Data Engineer
- Sr. Manager, Collection Analytics
- Data Scientist
- Sr. Manager, Data Scientist
- Sr Analyst, Customer Lifecycle Marketing Strategy and Analytics
- Senior Data Scientist, Model Risk Management
- Financial Systems Senior Analyst
- Senior Manager, Product Analytics
- Sr. Engineering Manager - ML Infra
- Sr. Staff ML Engineer
Other Jobs in Data Analytics
Senior Manager, Product Analytics
Senior Manager, Product Analytics
KEY RESPONSIBILITIES:
Data Analysis: Perform in depth data analysis to identify trends, opportunities, and areas for improvement related to Oportun's financial products.
Market Research: Stay updated on industry trends and customer needs, providing insights and recommendations for product enhancements.
Product Development: Collaborate with product managers, engineers, and designers to contribute to the development and improvement of financial products.
A/B Testing: Plan, execute, and analyze A/B tests to evaluate the performance of product changes and optimize features.
CustomerInsights: Leverage customer feedback, surveys, and research to understand user behavior, preferences, and pain points.
Reporting: Create and maintain detailed reports and dashboards to track product performance and KPIs.
Competitive Analysis: Analyze competitors' products and strategies to identify opportunities for Oportun's product differentiation.
Cross- Functional Collaboration: Work closely with various teams, including marketing, compliance, and operations, to align product strategies with business goals.
Documentation: Document findings, insights, and recommendations for product enhancements and communicate them effectively to stakeholders.
REQUIREMENTS:
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Bachelor's degree in a relevant field (e.g., Business, Economics, Statistics, Data Science).
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8+ years of experience working as a business/product analyst.
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Strong analytical skills with the ability to use data to drive strategic decision-making.
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Proficiency in data analysis tools and languages (e.g., SQL, Python, R) and data visualization tools (e.g., Tableau, Domo, Power BI).
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Excellent communication and presentation skills to convey complex data insights to both technical and non- technical stakeholders.
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Strong problem-solving skills and the ability to work collaboratively in a cross-functional team environment.
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Knowledge of A/B testing and user experience (UX) principles is a plus.
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Familiarity with financial products and services is a huge plus.