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6 дней назад

Senior Data Analyst (Product)

95 000 - 115 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Analyst (Product) (SQL/AI): Translating stakeholder needs into buildable data products, requirements, and product improvements across retirement, education, and healthcare savings platforms with an accent on product discovery, systems analysis, and data-informed development. Focus on defining acceptance criteria, shaping test coverage, validating features, and building usage-tracking processes that guide future product decisions.

Location: Hybrid work based in either the New York or Austin office; access is also available to collaborative offices in King of Prussia and Scottsdale.

Salary: $95,000–$115,000 base annually, plus eligibility for the company bonus pool and new-hire equity.

Company

hirify.global is a financial technology company providing savings infrastructure for retirement, education, and healthcare programs.

What you will do

  • Translate strategic initiatives and stakeholder requirements into focused, buildable product features.
  • Define product and functional requirements, use cases, acceptance criteria, and implementation plans.
  • Partner with development and QA teams to break down work, define test cases, and ensure test coverage.
  • Perform functional testing, provide initial product sign-off, identify bugs, and support resolution.
  • Communicate product plans and decisions across Product, Engineering, QA, Operations, and business stakeholders.
  • Develop processes and tools to track usage trends and inform future product development.

Requirements

  • 3+ years of Product Management experience.
  • Strong business and systems analysis skills, including documenting functional requirements and use cases.
  • Experience managing project work through the software development life cycle.
  • Ability to work independently and collaboratively in a fast-paced, deadline-driven environment.
  • Excellent written and verbal communication skills with internal stakeholders.
  • Proven ability to read and write SQL.

Nice to have

  • Finance or retirement-plan knowledge.
  • Data science degree or data warehousing experience.
  • Snowflake experience.
  • Former junior engineering experience.

Culture & Benefits

  • Hybrid work model combining office collaboration with flexibility.
  • Comprehensive health benefits and generous paid time off.
  • Employee Wellbeing Committee and focus on employee wellbeing.
  • Competitive 401(k) plan.
  • Transparent hiring process with introductory conversations, role-specific assessment, interview panel, and reference checks.

Hiring process

  • Begin with one or two introductory conversations.
  • Complete a skills- or experience-based assessment, followed by a virtual or in-person interview panel.
  • Provide references from a current or former manager and a peer before an offer.

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