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ΠŸΠΎΡΠΌΠΎΡ‚Ρ€Π΅Ρ‚ΡŒ ΠΏΠΎΡ…ΠΎΠΆΠΈΠ΅ вакансии ↓
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ΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΎ 2 мСсяца Π½Π°Π·Π°Π΄

Data and Insights Analyst (Marketing Analytics)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
middle
Английский
c1
Π‘Ρ‚Ρ€Π°Π½Π°
Poland

ОписаниС вакансии

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TL;DR
Data and Insights Analyst (Marketing Analytics): Building data products and delivering analytics-driven insights for Visa’s marketing stakeholders in Europe with an accent on marketing impact analysis, data visualization, and experimental design. Focus on combining complex data sources, executing statistical analyses and A/B tests, automating analytical processes, and translating results into actionable business recommendations.

Location: Hybrid role in Warsaw, Poland; office attendance requirements will be confirmed by the Hiring Manager.

Company

hirify.global is a global payments technology company facilitating transactions between consumers, merchants, financial institutions, and government entities.

What you will do

  • Develop and deliver analytics-driven insights for marketing stakeholders across Europe.
  • Build data products and solutions that make data and insights accessible, shareable, and usable while following governance and compliance policies.
  • Analyze large datasets and create data visualizations, storyboards, and compelling data narratives.
  • Define analytical scope and methodologies, create analysis plans, and apply data mining and statistical techniques.
  • Manage multiple medium-sized analytics projects, maintain documentation, and ensure delivery against timelines and analytical plans.
  • Provide subject matter expertise, quality assurance, and process or code automation for complex analytics projects.

Requirements

  • Experience in data analytics and data visualization, including marketing analytics, brand impact analysis, and ATL or digital campaign measurement.
  • Experience designing A/B tests, selecting control groups, and applying experimental data science.
  • Master’s degree or equivalent experience in statistics, mathematics, operational research, computer science, economics, engineering, or another quantitative field.
  • Hands-on experience with R or Python and SQL databases.
  • Strong analytical, quantitative, problem-solving, communication, and data storytelling skills.
  • Full professional proficiency in English is required.

Nice to have

  • Experience with Apache Spark and Airflow or similar orchestration tools.
  • Experience with Power BI or Tableau.
  • Knowledge of payment network transactional data.
  • Experience translating analytical outputs into actionable business recommendations.

Culture & Benefits

  • Collaborative work with Marketing Data and Insights and other internal functions.
  • Opportunity to promote an insights-driven culture and develop creative analytical solutions.
  • Work on projects with clear commercial value and business impact.
  • Hybrid working arrangement with office attendance determined by the Hiring Manager.