[Remote] Product Analyst, Financial Data

Note: The job is a remote job and is open to candidates in USA. AlphaSense is a company that provides AI-driven market intelligence to help professionals make informed decisions. They are seeking a Product Analyst for their Financial Data Team, which involves supporting product development, translating goals into actionable requirements, and collaborating with engineering teams to enhance data insights and system performance.

Responsibilities

• Support development and execution of the FinData product roadmap
• Translate product goals into clear, actionable requirements for engineering teams
• Develop mockups, wireframes, and schematics to communicate concepts and requirements
• Define business logic and relationships to maintain accurate and predictable system behaviors
• Query internal PostgreSQL/Snowflake/Athena databases to identify key data-related insights and/or high impact data gaps
• Conduct detailed screening and data validation to support robust quality-assurance practices
• Propose design concepts and enhancements to address technical challenges and optimize system performance
• Develop and maintain product documentation to ensure alignment between all stakeholders
• Coordinate project prioritization, dependencies, and sequencing across teams and initiatives
• Support project planning activities, including timeline estimation, scheduling, and tracking
• Contribute to product and feature release documentation and communicate new functionality to internal stakeholders
• Work collaboratively with engineers, analysts and product managers

Skills

• Bachelor's degree in a highly analytical field such as Engineering, Computer Science, Business, or a related discipline
• 1–3 years of relevant experience, including internships, or academic project work
• Interest in building a career in product management and technology development
• Intellectual curiosity about financial data and capital markets intelligence
• Proven analytical mindset with the ability to translate complex problems into structured, data-driven solutions
• Excellent organizational skills and attention to detail
• Ability to meet deadlines and to work independently
• Foundational proficiency in SQL to navigate and query financial datasets is required; experience with advanced SQL techniques and Python for data analysis or automation is considered a strong asset

Benefits

• You may also be offered equity, and a generous benefits program.

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