[Hiring] Lead Web Analyst @EPAM Systems

Role Description

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.

• 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

Qualifications

• 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

Requirements

• 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