Product Analyst

Responsibilities

• Lead the design, automation, and delivery of monthly and ad-hoc reporting on product performance, revenue, cost metrics, and member behavior, enabling senior leadership to make time, strategic decisions.
• Integrate and validate data from multiple internal and external systems, ensuring accuracy and constancy for enterprise reporting, strategic planning, and compliance.
• Liaise directly with stakeholders to resolve data integrity issues and enhance reporting quality.
• Develop automated reports and automate current routine reports to improve efficiency.
• Assist with various product related initiatives including but not limited to pricing analysis, collateral material, product dashboard, etc.
• Support key product launch and implementation.
• Conduct market and competitive research to identify opportunity alongside Product Managers.
• Conduct member research to identify key member pain points.
• Provide accurate ad hoc reporting when requested by business line and product management stakeholders.
• Collaborate with business development to analyze member and market data, providing insights and strategic recommendations that support organizational growth goals.
• Partner with marketing to evaluate and optimize campaign performance, leveraging product and member data to improve targeting, conversion, and ROI.
• Onboard, train, and provide ongoing guidance for analysts ensuring the consistency in analytics processes, data interpretation, and reporting standards.
• Serve as a cross-functional analytics resource for initiatives that span across the marketing division.

Requirements

• Bachelor’s degree (BA, BS, BBA, etc.) required or a minimum of five years directly related experience.
• Minimum of 3+ years of experience in Banking Industry working and strong knowledge & understanding of financial products (Consumer Deposit & Lending products).
• Strong reporting, decision making, analytical and problem-solving skills.
• Highly flexible and able to quickly adapt to changing priorities.
• Ability to perform in a high-volume environment and meet deadlines while maintaining exceptional attention to detail.

Technical Skills

• Intermediate Proficiency in Excel (pivot tables, conditionals, data models, linear regression modeling, vlookup, INDEXMATCH, etc.) required, familiarity in database querying (SQL, Power BI), advanced ETL in Power Query, and DAX.