17 сен

data analyst marketplace

выше рынка на 218,3%
вакансия 809 396 ₽
в среднем 254 327 ₽
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описание

Harnham is a well-established digital platform business operating across the Benelux region. It connects consumers and businesses through a marketplace model while supporting sustainable and circular commerce, serving millions of monthly users.

задачи

  • Partner with product, marketing, and commercial teams to translate business challenges into actionable analytical plans;
  • Identify growth opportunities and risks through analysis of user behaviour, conversion, and revenue trends;
  • Design and build dashboards that communicate performance and key business metrics;
  • Analyse large, complex datasets to uncover insights and inform decision-making;
  • Influence stakeholders across all levels through clear storytelling and data-driven recommendations;
  • Support experimentation and measurement frameworks to evaluate product and marketing initiatives;
  • Collaborate with data and engineering teams to improve data quality, tracking, and metric definitions.

требования

  • Strong commercial experience in data analytics within a digital, product-led, or marketplace environment;
  • Advanced SQL skills and confidence working with large-scale datasets;
  • Experience using Python for analytical work, modelling, and automation;
  • Hands-on experience with cloud data platforms such as BigQuery, Databricks, or AWS;
  • Proficiency with BI tools such as Tableau or similar for building impactful dashboards;
  • Strong understanding of business metrics including conversion, retention, and customer lifetime value;
  • Ability to translate ambiguous problems into clear analytical approaches;
  • Confident communicator who can influence stakeholders and challenge thinking constructively.

условия

  • Competitive salary and benefits package;
  • Opportunity to work on high-impact projects influencing product and commercial strategy;
  • Collaborative, cross-functional working environment;
  • Clear scope for career progression within a data-driven organisation;
  • Exposure to large-scale data and modern data tooling.

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