Position: Web Analyst with Adobe stack
Company: EPAM Systems
Experience required: 2y
English level: intermediate

RESPONSIBILITIES

•	Audit data collection implementations based on business objectives, uncover and quantify opportunities for customer experience improvement; 
•	Transform business needs into technical requirements for web analytics implementation, establish KPIs that point to real business impact and track client goals;
•	Collaborate with different vendors (marketing, social media, affiliates, etc.) to understand different analytics implementation techniques and suggest implementation best practices within a tag management system;
•	Conduct all aspects of web analytics implementation, including tagging documentation, tools configuration, tracking validation, reporting;
•	Contribute to personalization initiatives – through research, ideas, strategies and methodology execution/plans, collaborating with other disciplines; 
•	Collaborate with other teams (developers, BA, BI, Data Science) throughout the project lifecycle 

PROJECT TECHNOLOGIES AND TOOLS

•	Adobe Analytics
•	Adobe Target
•	Adobe DTM/Launch

REQUIREMENTS

•	Intermediate or higher level of English (both written and spoken);
•	Experience turning large amounts of data into concise, client-friendly findings and recommendations;
•	Strong knowledge of current best practices and standards in web analytics;
•	Strong communication skills to explain complex data, analyses, and findings to non-technical stakeholders;
•	Experience in implementing tags using Google Tag Manager, Adobe DTM/Launch, Tealium and/or other tag management systems;
•	Experience in writing custom tags on Javascript & jQuery. Knowledge of CSS selectors;
•	Experience in working with browser debugging tools (network tools, Charles);
•	Experience in extracting and analyzing data from Google Analytics and/or Adobe Analytics (IBM, AT Internet or other tools would be a plus), knowledge of Google Analytics API, Measurement Protocol;
•	Experience in working with BigQuery, writing SQL queries;
•	Experience in creating and explaining dashboard reports, using data visualization tools like Tableau, Power BI, Google Data Studio or Domo;
•	Bonus points for A/B testing tools like Google Optimize, Adobe Target, or Optimizely;
•	Bonus points for any of the following: 
o	Experience with R, Python or other statistical analysis tools;
o	Experience with marketing tools like Monetate, Shopify or IBM marketing suite;
•	Passion and curiosity to extract meaning, provide context, uncover insights, and identify optimization opportunities in the data;
•	Natural tendency to set goals, demonstrate a ‘go-getter’ attitude, and take initiative with little oversight.