Product & Data Analyst

The Product & Data Analyst role combines product analytics and data analysis to drive insights, optimize product performance, and support strategic decision-making. Works closely with cross-functional teams to analyze product performance, generate actionable insights, and support product development with data-driven recommendations. This hybrid role blends both product analytics and data-driven decision-making.

RESPONSIBILITIES

• Analyze product usage data to provide insights on user behavior, engagement, and feature adoption.
• Monitor key product metrics (e.g., customer acquisition, retention, churn) to identify trends, issues, and opportunities for growth.
• Collaborate with product managers to define KPIs and success metrics for product features and initiatives.
• Support product lifecycle by analyzing user feedback, customer needs, and market trends to influence product roadmaps.
• Document and maintain product related process flows.
• Collaborate with Product Managers to validate reporting and resolve data discrepancies to ensure accuracy.
• Gather, process, and analyze large datasets from various sources (e.g., product data, user data, customer data) to deliver actionable insights.
• Develop and maintain dashboards and reports to track performance metrics, business trends, and user engagement.
• Work closely with stakeholders to identify business problems and provide data-driven solutions.
• Use statistical methods and advanced data techniques (e.g., regression analysis, clustering, predictive modeling) to inform product and business decisions.
• Ensure data integrity and quality by conducting regular data audits and identifying any inconsistencies or inaccuracies.
• Partner with product, engineering, marketing, and sales teams to align on key business objectives and support product development.
• Communicate insights and findings to both technical and non-technical stakeholders, translating complex data into clear, actionable recommendations.
• Support product launches by analyzing market conditions, customer feedback, and competitive landscape.
• Provide timely responses to product related inquiries and escalations.
• Other duties as assigned.

QUALIFICATIONS

• 2 years of experience required in product analytics, data analysis, or a similar role.
• Strong proficiency required in data analysis tools such as SQL, Excel, or others.
• Experience with data visualization tools (e.g., Tableau, Power BI) and A/B testing frameworks.
• Experience working in a product-driven environment is a plus.

PREFERRED QUALIFICATIONS

• 5-10 years of Product or Treasury/Cash Management experience preferred.

A reasonable, good faith estimate of the minimum and maximum base salary or pay for this position is $38.32/hr to $57.49/hr. Actual compensation will vary based on various factors including but not limited to location, experience, and performance. A discretionary bonus and/or business line incentive may be provided, in addition to a medical and other benefits, dependent on the position. For more information regarding our benefits, please visit https://www.ppbi.com/careers.html

CA (Los Angeles applicants): Applicants are notified that the Company is an insured depository institution subject to the restrictions and requirements of Section 19 of the Federal Deposit Insurance Act (12 CFR 303) ("Section 19"). In accordance with Section 19, the Company will consider an applicant's criminal history after an applicant is made a conditional offer of employment. Qualified applicants with criminal conviction records will be considered for employment in accordance with the Los Angeles Fair Chance Ordinance. Section 19 may prohibit the Company from employing an applicant with criminal conviction(s) for fraud, breach of trust, embezzlement, mishandling of money or any crime of violence may have a direct impact on the job duties as set forth in the job description and such convictions may result in withdrawal of a conditional offer of employment in accordance with the Los Angeles Fair Chance Ordinance. Because of the nature of our business, a review of your criminal history is necessary to comply with Section 19 and to avoid substantial risk to our business operations and licensing.

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