Lead Web Analyst

EPAM·Georgia·Удалённо·вчера

Are you a seasoned Google Analytics expert with a passion for data and solving complex tracking challenges?

If so, this could be the perfect opportunity to join EPAM as a Lead Web Analyst, where your skills in Google Web Analytics tools will drive data-focused solutions for our clients. We are searching for a dedicated professional to deliver data-based recommendations and actionable insights.

The analyst should be able to shift working hours to work till 1 PM EST.

Responsibilities

  • Define a measurement strategy and work with the product ownership team to establish KPIs for product success
  • Apply creative approaches to implement user behavior tracking for effective data collection
  • Translate business requirements for tracking into detailed specifications for the development team
  • Develop sophisticated end-to-end analytics pipelines spanning web analytics, advertising, and CRM systems
  • Provide data-driven recommendations to enhance clients’ online strategies
  • Perform detailed research on various aspects of customers' online strategies
  • Design and execute A/B and MVT tests, including hypothesis formulation, sample size estimation, experiment planning, and reporting
  • Generate insightful automated dashboards

Requirements

  • 5+ years of Web Analytics experience
  • Experience in various Google web analytics tools (audit, setup, reporting, API utilization): Google Analytics, Google Tag Manager, Google Data Studio, Google BigQuery
  • Skills in using tag management systems for tag implementation (including custom tags in JavaScript & jQuery)
  • Expertise in creating and explaining dashboards through data visualization tools
  • Knowledge of developing and maintaining Web Analytics project documentation
  • Proficiency in A/B testing
  • Background in EDW systems such as BigQuery, Amazon Redshift, or Snowflake
  • Strong communication skills and ability to explain analytics to non-technical stakeholders
  • English level: B2 and above

Nice to have

  • Competency in SQL, R, or Python
  • Knowledge of JavaScript
  • Background in online marketing or product analytics
  • Skills in statistics and data analysis, with the ability to identify trends
  • Qualifications in Marketing, Mathematics, Statistics, or Engineering

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