Journey Specialist at TD Bank optimizing digital customer journeys. Collaborating with teams to enhance user experience through data - driven insights and management.
About the role
- Join AlphaSense as a Product Analyst in Financial Data, supporting product management decisions. Collaborate with engineering teams for data-driven solutions in financial markets.
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.
Requirements
- 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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