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Data Analyst (iGaming)

Формат работы
remote (только Latvia)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Spain/Latvia/Malta +1 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
Data Analyst (iGaming): Developing analytical tools and solving business problems across BI reporting, ad-hoc analytics, and product analysis with an accent on SQL, Python, automation, and A/B testing. Focus on building BI task automation with Airflow, maintaining dbt fact and dimension tables, analyzing experiments, and creating notification systems with product teams.

Location: Latvia

Company

hirify.global develops B2B sportsbook and betting products with risk management and omnichannel support for the iGaming industry.

What you will do

  • Create BI reports and perform ad-hoc analytics.
  • Investigate business and product problems, collaborate with product teams, and propose data-driven solutions.
  • Automate BI tasks using Airflow.
  • Plan and analyze A/B tests from split-test design through result evaluation.
  • Maintain the dbt repository by creating fact and dimension tables with SQL and writing SQL quality tests.
  • Build notification systems in close collaboration with product teams.

Requirements

  • At least 1 year of experience using SQL for problem-solving.
  • Knowledge of Python, including pandas, plotly, and matplotlib.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Experience with ClickHouse, MongoDB, BigQuery, BI tools, workflow management systems, GA, GTM, Git, CI/CD, or dbt is advantageous.

Culture & Benefits

  • Comprehensive health insurance and 100% paid sick leave.
  • 20 paid vacation days plus 6 additional days off for important family events.
  • Learning opportunities and language courses.
  • International team, corporate events, team-building activities, and quality equipment.
  • Welfare support in critical situations and milestone gifts.

Hiring process

  • 30-minute recruiter call.
  • 60-minute call with the team leader.
  • Test task followed by a 30-minute discussion with the HR Business Partner and Head of UX & Analytics.

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