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Senior Data Analyst (Marketing team)

56 minutes ago
Serbia, Georgia, Moldova, Poland
Full-time
Senior
Data Analyst
Data Science and Analytics
AWS CRM GCP Machine Learning Python Snowflake SQL
Apply Now
Gomining

Gomining

Gomining operates the largest global network of mining hotels, providing specialized accommodations for cryptocurrency miners, with its headquarters situated in Hungary.

Construction & Engineering
11-50
Founded 2017
View All Jobs 14

Description

  • Build and maintain a scalable retention analytics framework across the customer lifecycle.
  • Define and track retention KPIs, lifecycle metrics, and marketing performance dashboards.
  • Analyze user behavior to identify opportunities to improve engagement, retention, and customer lifetime value.
  • Deliver actionable insights to inform marketing and product decisions.
  • Develop customer segmentation models, including RFM and behavioral segmentation.
  • Design data-driven personalization strategies and support personalized customer experiences across marketing channels.
  • Collaborate with Product and CRM teams to optimize user journeys.
  • Design, analyze, and evaluate A/B tests for CRM campaigns and marketing initiatives.
  • Automate retention reporting, performance monitoring, and anomaly detection for key metrics.
  • Build dashboards and reporting systems for Marketing, Product, and Leadership teams.

Requirements

  • 5+ years of experience in Marketing Analytics, CRM Analytics, or Retention Analytics.
  • Strong experience analyzing customer lifecycle, retention, and user behavior.
  • Proven experience designing and evaluating A/B tests for CRM communications and marketing initiatives.
  • Experience working with CRM platforms such as Customer.io, Braze, Iterable, or similar.
  • Deep understanding of customer segmentation methodologies, including RFM and behavioral segmentation.
  • Experience building retention and marketing KPI frameworks.
  • Strong SQL and Python skills.
  • Experience with cloud data platforms such as BigQuery (preferred), Snowflake, Redshift, or AWS.
  • Strong analytical mindset and ability to translate data into business decisions.
  • English level B2/C1.
  • Experience with machine learning and recommendation systems (nice to have).
  • Experience building real-time personalization models (nice to have).
  • Experience with Google Cloud Platform and BigQuery (nice to have).
  • Experience in fintech, crypto, SaaS, or high-scale B2C products (nice to have).

Benefits

  • Learning support with up to 100% reimbursement for courses, English classes, and conferences.
  • Unique loyalty program with corporate digital miners and passive income potential.
  • Retreats and team events in international locations, including company apartments in Cyprus.
  • Paid leave including up to 20 vacation days, 8 company holidays, and 5 personal days per year.
  • Clear career tracks with opportunities to grow into expert or top management roles.
  • Flexible hours and remote work.
  • Employee of the Month awards and other recognition prizes.

Interested in this position?

Apply directly on the company website

Apply Now

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