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2 дня назад

Senior Data Analyst (Product Analytics)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Serbia/Ukraine/Poland +22 еще
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 Analytics/SQL): Driving analytics for subscription products and web funnels with an accent on conversion, retention, LTV, trusted tracking, and reusable data models. Focus on full-funnel analysis, event taxonomy, advanced SQL modeling, dashboard development, experimentation, and mentoring analysts.

Location: Remote; applicants from the listed countries and other countries are welcome if located within approximately ±4 hours of CET.

Company

hirify.global creates and operates consumer products across health, education, and entertainment.

What you will do

  • Partner with Product, Marketing, and Data teams to define KPIs, success metrics, and decision criteria.
  • Build and maintain dashboards and reporting for product and marketing performance.
  • Analyze subscription funnels, user journeys, drop-offs, activation, retention, churn, LTV, and cohorts.
  • Monitor metrics and anomalies, communicate issues to stakeholders, and maintain defined SLAs.
  • Own event taxonomy and tracking structures, validating implementation and business logic.
  • Design reusable SQL data models and mentor Junior and Middle Analysts in analysis and experimentation quality.

Requirements

  • 3+ years of experience as a Data Analyst with end-to-end analytical ownership.
  • Degree in Mathematics, Data Science, Economics, or equivalent practical experience.
  • Strong product and subscription analytics experience, including funnels, cohorts, retention, LTV, churn, and segmentation.
  • Advanced SQL and experience with BI tools such as Tableau or Looker.
  • Hands-on experience with Mixpanel, GA4, Amplitude, or similar event analytics tools.
  • Strong spoken and written English; ability to work within approximately ±4 hours of CET.

Nice to have

  • Experience with Python, R, GCP, BigQuery, Google Ads, or Facebook Ads.
  • Experience with Airflow, dbt, Git, and code review processes.
  • Marketing analytics experience.

Culture & Benefits

  • Remote work environment with flexible working arrangements.
  • Unlimited paid time off and paid national holidays.
  • Company-provided MacBook when required for the role.
  • Flexible independent contractor agreement offering autonomy and location flexibility.
  • Fast-paced, high-ownership environment focused on ambitious growth and measurable impact.

Hiring process

  • Application review typically takes 3–5 days.
  • Recruiter screening: 40 minutes.
  • Technical interview: 90 minutes, followed by a 60-minute final interview.

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