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7 дней назад

Product Analytics Associate Engineer (AI)

110 000 - 120 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
junior
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
Product Analytics Associate Engineer (AI): Building product analytics models, dashboards, reports, and data quality checks that turn member and Care Team data into actionable insights for metabolic health, with an accent on SQL, dbt, BI tools, and A/B testing. Focus on analyzing product KPIs, validating experiment data, maintaining analytics models, and gradually developing data pipelines with senior guidance.

Location: Remote, USA. Applicants must be authorized to work for any employer in the U.S.

Salary: $110,000–$120,000 annually

Company

hirify.global is a digital health company using AI Digital Twin technology, clinical care, and data from wearable devices and meal logs to improve metabolic health outcomes.

What you will do

  • Support Product Managers and area owners with data pulls, ad hoc analysis, reporting, and KPI tracking.
  • Set up and monitor A/B tests, write tracking queries, validate data quality, and summarize results.
  • Write and maintain SQL queries and dbt models for scoped tables and metrics under senior guidance.
  • Build and update dashboard and report components in BI tools such as Tableau, Looker, or Power BI.
  • Work with Data Engineers to learn the data architecture and gradually take on small pipeline tasks.
  • Document data dictionaries and metric definitions, communicate findings, and identify improvements.

Requirements

  • Bachelor’s degree in Computer Science, Statistics, Data Science, or a related field.
  • 1–3 years of experience in product analytics, data analytics, or a similar role; internships and co-ops count.
  • Solid SQL skills, including joins, aggregations, and window functions.
  • Exposure to dbt or the ability to quickly learn data modeling and transformation practices.
  • Familiarity with cloud data warehouses; Snowflake is preferred, with BigQuery, Redshift, or equivalent experience also accepted.
  • Must be authorized to work for any employer in the U.S.; employment visa sponsorship is not available.

Nice to have

  • Healthcare or digital health experience.
  • Personal interest in health and wellness.

Culture & Benefits

  • Remote work with a global team and a high level of flexibility.
  • Opportunity for equity participation.
  • Unlimited vacation with manager approval.
  • Paid parental leave: 16 weeks for delivering parents and 8 weeks for non-delivering parents.
  • Employer-sponsored healthcare, dental, and vision coverage, with family coverage options, HSA, and FSA.
  • 401(k) retirement savings plan.

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