6 дней назад
Senior Data Analyst (Product)
95 000 - 115 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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