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Senior Data Analyst Повна зайнятість

Наш клієнт:

Our client is a global technology group operating multiple performance-driven marketing platforms. Their products rely on advanced data analysis and experimentation to continuously optimize large-scale systems, improve traffic quality, and maximize return on investment. The team focuses on building data-informed strategies to enhance decision-making across product and machine learning domains.

Ваші завдання:

  • Investigate system performance and campaign behavior to uncover inefficiencies and growth opportunities
  • Develop and maintain meaningful metrics to evaluate pricing, traffic allocation, and overall system health
  • Support experimentation processes by preparing data, validating results, and ensuring consistency in test conditions
  • Analyze A/B tests and translate outcomes into clear business and product insights
  • Explore datasets to detect anomalies, data inconsistencies, and hidden patterns
  • Contribute to building datasets and signals that can be used for further modeling and optimization
  • Collaborate with cross-functional teams (Data Science, Machine Learning, Product) to align analytical findings with business goals
  • Provide actionable recommendations to improve targeting, budget allocation, and system efficiency

Необхідний досвід та навички:

  • 5+ years of experience in a data-focused role (Data Analyst or similar)
  • Mandatory hands-on experience in the AdTech industry
  • Degree in a quantitative field such as Computer Science, Mathematics, Statistics, or Economics
  • Strong knowledge of statistics, including hypothesis testing and experimental design
  • Proven experience with A/B testing and performance analysis in production environments
  • Ability to work with large-scale datasets and identify performance bottlenecks and optimization opportunities
  • Strong analytical thinking with the ability to break down complex system behavior into actionable insights
  • Experience presenting data-driven findings to both technical and non-technical stakeholders
  • Ability to operate in ambiguous environments and independently drive analysis

Було б добре:

  • Familiarity with auction-based systems, bidding strategies, or pricing optimization
  • Exposure to fraud detection, traffic quality analysis, or anomaly detection
  • Experience building dashboards or internal analytical tools

Умови праці

5-денний робочий тиждень, 8-годинний робочий день, гнучкий графік

5-денний робочий тиждень, 8-годинний робочий день;

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