| Location | Atlanta, GA |
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Lead Web Analyst
Remote in Georgia
Web Analytics
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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