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Entry-level product/data role, metro hiring, and broad skillset requirements increase applicant competition.
Product analytics and AI skills transfer across industries, though fintech domain knowledge is moderately valuable.
No explicit years or mandatory certifications; hiring emphasizes adaptable product and analytics skills.
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Transform data and customer challenges into product opportunities and measurable business outcomes for ION products used by Tier 1 banks and Fortune 100 companies.
Analyze data to define and track key metrics, build analytics solutions, support predictive modeling, and generate insights for product, engineering, and business teams.
Partner with product managers and engineers to define requirements, validate ideas, measure outcomes, and own initiatives end-to-end including customer engagement and product adoption support.
Work Experience Required: Not explicitly mentioned in the JD
Strong analytical skills with experience in data analysis, reporting, and building dashboards or scalable analytics solutions.
Familiarity with AI technologies, automation, and machine learning implementation and monitoring.
Ability to collaborate closely with multiple teams including product, engineering, and business stakeholders.
Comfortable working at the intersection of product management, data analytics, AI, and business operations in financial technology context.
Experience or interest in driving product innovation through data-driven decision making and AI/automation solutions.
Capable of managing end-to-end product analysis initiatives involving cross-functional collaboration and customer interaction.