Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$120к-160к/год
$120к$140кмедиана$170к
По похожим ролям (50) ~ $140к/год
На СНГ рынке: $4к/мес ($2.9к - $4.3к)
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У роли понятная зона ответственности, заметное влияние на бизнес и хорошо описанные задачи; также есть актуальные инструменты и контекст финтех-продукта.
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Актуальные инструментыЗадачи с влияниемФинтех-продукт
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Analyst, Operations (Fintech) (BigQuery/dbt/Looker): Building scalable self-service analytics, operational reporting, and data-driven insights for Operations and Customer Support with an accent on advanced SQL, stakeholder partnership, and evidence-based product decisions. Focus on leading ad hoc investigations, defining reliable metrics, creating reusable dashboards and queries, and applying AI thoughtfully to improve customer outcomes.
Location: San Francisco, Washington, D.C., New York City, Detroit, Phoenix, Miami, Denver, or Remote (USA)
Salary: $120,000–$160,000 base pay plus bonus and benefits
Company
hirify.global provides financial services that help members understand their finances, save time and money, and improve their financial lives.
What you will do
Partner semi-embedded with Operations and Customer Support leadership to frame analytical questions, define measurement, and deliver evidence-based narratives that influence roadmap decisions.
Build relationships with operations leaders and cross-functional partners, communicate trade-offs, manage expectations, and align analytics engagement with business needs.
Lead high-impact ad hoc analyses of operations data, identify non-obvious trends and opportunities, and turn findings into recommendations that improve customer outcomes.
Create self-service analytics assets, including dashboards, metric definitions, reusable queries, notebooks, and documentation.
Guide stakeholders in using analytics methods and tools, while mentoring teammates through reviews, feedback, and collaboration.
Own initiative scope, methods, limitations, communication, impact tracking, and reprioritization as new information emerges.
Requirements
Deep expertise in data analytics and strong understanding of data systems and processes, especially scalable and repeatable self-service analytics.
4+ years of data analytics experience and proven experience working with Operations teams to drive meaningful product improvements.
Advanced SQL skills.
Experience with a BI tool such as Looker, Tableau, Databricks, or Power BI.
Strong stakeholder management skills and ability to build effective relationships across the organization.
Ability to ensure analytics tools are accurate, complete, and timely, recognizing analytics as both a strategic asset and risk.
Ability to work strategically with internal clients rather than functioning only as a ticket taker.
Interest in continued growth, learning, difficult problems, and major challenges.
Regular use of AI in work with an understanding of its trade-offs and when human judgment is required.
Nice to have
Experience with Looker.
Light experience with dbt or Airflow.
Experience in fintech, banking, or finance.
Culture & Benefits
Health, dental, and vision plans.
401k matching.
Unlimited PTO.
Competitive pay and bonus.
Daily lunch, snacks, coffee, and commuter benefits for in-office employees.
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