Product Analyst, Solutions Consulting

Team and role overview

Core responsibilities

• Use analytics and market insights to influence product strategy, innovation, and go-to-market decisions.
• Analyze large datasets to identify customer needs, emerging fraud trends, product opportunities, and revenue-growth potential.
• Evaluate market opportunities based on customer demand, market potential, available data, and strategic alignment.
• Research evolving fraud vectors, attack methods, and market needs to identify new or enhanced prevention capabilities.
• Develop analytical frameworks, proofs of concept, and recommendations to validate use cases and support investment decisions.
• Support design and testing of next-generation fraud solutions, including pilots for phone scam detection and prevention.
• Translate complex findings into business recommendations for cross-functional stakeholders.
• Develop analytical approaches and tools that improve opportunity identification, solution demonstrations, and customer conversations.
• Independently move ambiguous business questions from research through recommendation and execution; present findings to technical and non-technical audiences.

Required qualifications

• At least eight years of experience in analytics, product analytics, fraud analytics, consulting, data science, strategy, or a related field.
• Experience translating complex information into actionable recommendations and analyzing large, complex datasets for product or commercial decisions.
• Able to independently structure ambiguous problems, develop an analytical approach, and advance work with limited direction.
• Experience leading cross-functional initiatives and influencing technical, product, commercial, and operational stakeholders.
• Strong written, verbal, and presentation skills for communicating complex findings to technical and non-technical audiences.
• Advanced SQL and Microsoft Excel skills.
• Experience using large-scale data platforms and analytical tools to build repeatable analyses, frameworks, or proofs of concept.
• Ability to travel up to 10%.

Preferred qualifications

• Google BigQuery or a comparable cloud-based data and analytics platform experience is preferred.
• Knowledge of fraud prevention, risk analytics, identity solutions, telecommunications, or SaaS is preferred.
• Experience researching fraud threats or supporting product innovation, pilots, go-to-market planning, sales enablement, or revenue growth is preferred.

Compensation

• The listed salary range is $100,100–$150,000 per year.