Product Analyst

20 hours, 29 minutes ago
Full-time
Junior
Data Science and Analytics
Alphasense

Alphasense

Alphasense is a global leader in providing high-quality gas sensors and air quality monitors to industrial OEMs. With over 25 years of experience, the company offers a wide range of innovative gas sensor technologies for various applications, including...

Industrial Conglomerates
51-250
Founded 1996

Description

  • Support development and execution of the Financial Data 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 data relationships to maintain accurate and predictable system behavior.
  • Query PostgreSQL, Snowflake, and Athena databases to identify insights and high-impact data gaps.
  • Conduct detailed screening and data validation to support quality assurance.
  • Propose design concepts and enhancements to address technical challenges and improve system performance.
  • Develop and maintain product documentation to align stakeholders.
  • Coordinate project prioritization, dependencies, and sequencing across teams and initiatives.
  • Support project planning, including timeline estimation, scheduling, and tracking.
  • Contribute to product and feature release documentation and communicate new functionality to internal stakeholders.
  • Collaborate with engineers, analysts, and product managers.

Requirements

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

Benefits

  • Base salary range of $93,000–$110,000 USD.
  • Performance-based bonus potential.
  • Equity eligibility.
  • Generous benefits program.

Interested in this position?

Apply directly on the company website

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