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2 дня назад

Data Analyst (AI)

3 200 - 4 500
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Lithuania
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
Data Analyst (AI) (SQL, Python, PowerBI): Transforming customer behavior and marketing data into actionable business insights and self-service dashboards with an accent on data modelling, customer journey analysis, and commercial impact. Focus on connecting campaign and touchpoint data, developing analytical workflows with AI, and communicating recommendations to senior stakeholders.

Location: Vilnius, Lithuania; hybrid workplace

Salary: €3,200–€4,500 gross per month, with flexibility based on skills and competencies

Company

hirify.global develops proxy and web data scraping solutions for thousands of businesses, including Fortune 500 companies.

What you will do

  • Analyze customer behavior and model relationships between customer activity and growth drivers.
  • Create and maintain self-service dashboards for stakeholders using PowerBI or Superset.
  • Connect marketing campaign, channel, and touchpoint data to analyze the customer journey from acquisition to conversion.
  • Use SQL, Python, Google Sheets, and AI tools to prepare data, perform analysis, and improve productivity.
  • Identify research opportunities, conduct ad-hoc commercial analysis, and provide recommendations to senior stakeholders.
  • Communicate analytical findings and support decision-making across commercial and engineering-related discussions.

Requirements

  • 2+ years of experience in an analytical or consulting role working closely with business leaders and driving measurable impact.
  • Strong SQL skills for data manipulation.
  • Experience with visualization tools such as PowerBI, Superset, Tableau, or Looker, plus Excel or Google Sheets.
  • Understanding of how to use AI in analytical and business workflows.
  • Excellent English communication skills for explaining technical findings and participating in engineering-related discussions.

Nice to have

  • Understanding of marketing metrics, including funnels, cohorts, and campaign analysis.
  • Knowledge of SaaS metrics such as MRR and LTV/CAC, with strong commercial awareness.

Culture & Benefits

  • Work with a team of 500+ professionals and a high-standard technology stack.
  • Access to internal learning options, external conferences, mentorship, and knowledge-sharing.
  • Private health insurance, psychotherapy, on-site well-being consultants, gym access, and a wellness app.
  • Team events, an overseas workation, and quarterly team-building budgets.
  • Bonus vacation days, paid life-moment days off, barista coffee, and required work equipment.

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