A
AlphaSense
Product Analyst (Financial Data)
Skills
SQL QueriesPythonProduct StrategyProduct ManagementPostgreSQLSnowflake
2 months ago
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Important information
Contract type:
Permanent
Salary:
$93,000 – $110,000 / year
Location:
Canada
Work mode:
Onsite
Published on:
17 August 2026
What they need
- The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust
- Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content
- The Financial Data organization is responsible for curating best-in-class structured data, both self-sourced and from third party content providers
- The team was historically focused primarily on building a platform of 4,000+ fundamental financial models
- The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence
- Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion and enable users to unearth even more comprehensive insights from thousands of content sets
- Within this new environment, the Financial Data team is integrating our rich dataset into the platform alongside third party data to create a new final database that will offer our customers an unmatched level of accuracy, context, and flexibility to analyze and make investment decisions
- Join the Financial Data Team at AlphaSense as a Product Analyst
- 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
Benefits
- Work from home opportunities- Successful candidates will demonstrate a highly analytical and problem-solving mindset, a clear interest in product management and financial markets, and strong communication skills
- Ability to meet deadlines and to work independently
- Proven analytical mindset with the ability to translate complex problems into structured, data-driven solutions
- Excellent organizational skills and attention to detail
- Bachelor’s degree in a highly analytical field such as Engineering, Computer Science, Business, or a related discipline
- 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
- 1–3 years of relevant experience, including internships, or academic project work
- Intellectual curiosity about financial data and capital markets intelligence
- Interest in building a career in product management and technology development
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