Drive improvements in digital marketing efforts through data collection and analysis.
Analyze web analytics and other quantitative and qualitative data to identify opportunities to improve client websites / applications.
Actively cooperate on evaluation of online activities and campaigns ROI with other teams, provide insights on website changes or optimization activities.
Execute forecasting on web and revenue data for proper planning provided for the client.
Drive business intelligence for tracking and web analytics for clients’ digital marketing efforts. They will also be responsible for developing and growing the web Analytics practice: analytics strategy approach, online/offline measurement and optimization strategies of both structured and unstructured data.
Develop regular and ad hoc reports, analyze trends, summarize and present findings, and articulate key insights.
Identify and prioritize opportunities for on site optimization and take a lead role to recommend online merchandising and design improvements and plan & conduct A/B or multivariate tests.
Provide development methods for measuring and analyzing cross-platform digital experiences, from websites to social media to mobile to offline, to create a single view of the customer that integrates all channels and optimizes customer experience.
Make data-driven decisions to drive customers a web and app experience, and retain them through innovative, personalized incentives and communication.
Research the latest developments in web analytics, testing/optimization methodologies, and attribution techniques to understand the business in-depth, support and challenge strategic options, and build state-of-the-art tools to improve our marketing plans and performance.

Requirements

Minimum 1 year of experience in a related field
Bachelor’s degree in economics, engineering, marketing, statistics, or related field
Detailed understanding of tag management and analytics tools
Basic knowledge of HTML, CSS and javascript
Experience in conducting and interpreting A/B & multivariate testing
Experience in mobile tracking and analysis
Self motivated and eager to learn about technological developments
Passionate about digital marketing
Familiarity with techniques such as regression, extrapolation, time series analysis, forecasting, statistical hypothesis testing and econometric models
Familiarity with python and/or R programming
Knowledge of statistical testing techniques and interpretation

Senior Digital Intelligence Analyst

Responsibilities

Drive improvements in digital marketing efforts through data collection and analysis
Analyze web analytics and other quantitative and qualitative data to identify opportunities to improve client websites / applications via using analytics platforms (Google Analytics, Adjust,Google Tag Manager, Google Optimize)
Actively cooperate on evaluation of online activities and campaigns ROI with other teams, provide insights on website changes or optimization activities.
Execute forecasting on web and revenue data for proper planning provided for the client.
Drive business intelligence for tracking and web analytics for clients’ digital marketing efforts. They will also be responsible for developing and growing the web Analytics practice: analytics strategy approach, online/offline measurement and optimization strategies of both structured and unstructured data.
Develop regular and ad hoc reports, analyze trends, summarize and present findings, and articulate key insights.
Identify and prioritize opportunities for on site optimization and take a lead role to recommend online merchandising and design improvements and plan & conduct A/B or multivariate tests.
Provide development methods for measuring and analyzing cross-platform digital experiences, from websites to social media to mobile to offline, to create a single view of the customer that integrates all channels and optimizes customer experience.
Make data-driven decisions to drive customers a web and app experience, and retain them through innovative, personalized incentives and communication.
Research the latest developments in web analytics, testing/optimization methodologies, and attribution techniques to understand the business in-depth, support and challenge strategic options, and build state-of-the-art tools to improve our marketing plans and performance.

Requirements

Minimum 2 years of experience in a related field
Bachelor’s degree in economics, engineering, marketing, statistics, or related field
Detailed understanding of tag management and web/mobile analytics tools
Basic knowledge of SQL, Python,R, HTML, CSS and javascript
Experience in conducting and interpreting A/B & multivariate testing
Experience in mobile tracking and analysis
Self motivated and eager to learn about technological developments
Passionate about digital marketing
Familiarity with techniques such as regression, extrapolation, time series analysis, forecasting, statistical hypothesis testing and econometric models
Familiarity with python and/or R programming
Knowledge of statistical testing techniques and interpretation