Google Analytics Associate

Data Analyst

We are seeking a data analyst to support our internal platforms by delivering actionable insights, managing analytics infrastructure, and enabling data-driven decisions across product, design, and engineering teams.

In this role, you will play a pivotal part in developing analytics strategy, implementing tracking and reporting solutions, and uncovering meaningful patterns in user behavior. You will collaborate with product leads and cross-functional stakeholders to influence roadmap decisions, design and evaluate A/B and multivariate experiments, and support new feature development with well-structured data and clear insights. You will also be responsible for ensuring proper tag implementation, dashboard maintenance, and continuous improvement of our analytics ecosystem.

Analytics & Insights

• Play a critical role in the development and derivation of insights and intelligence across the entire Marcel platform across both web and native mobile
• Maintain Marcel site and mobile app analytics including implementation of tags as well as reporting and dashboarding
• Liaise with product leads to derive insights across the platform and help inform decisions on product roadmap/feature evolution
• Advise on measurement strategy and build measurement frameworks that are aligned to product user journeys
• Perform analyses of user data and provide feature teams with an understanding of how users are interacting with their product
• Collect requirements from feature teams/product leads and build dashboards in PowerBI/Tableau to help feature teams make data-driven decisions
• Responsible for leading the design and development of all key site and mobile app analytics including tag management and reporting/dashboarding
• Responsible for the maintenance of dashboards making updates in line with product evolution / new feature releases
• Build and document analytics tagging specs across the application so that knowledge and the ability to self-serve in site analytics can be distributed across both technical and non-technical audience
• Design and analyze experiments across user experience on the application, as well as over email communications (A/B, multivariate)

Product & Cross-functional Collaboration

• Work with external stakeholders to provide support to other areas of the organization
• Be able to take tasks that are at times, ambiguous and not so clearly defined, and find the specific requirements by communicating with the appropriate team leads
• Approach issues and new feature development with creative solutions
• Responsible for establishing best practices and standards

Communication & Reporting

• Be able to clearly and concisely communicate to senior leadership the complexities of the models that have been built and how they will be used/impact end users
• Be able to clearly explain findings and insights to both technical and non-technical audiences, including various Publicis Groupe executive leadership

Technical Development & Engineering

• Write maintainable and efficient code, with clearly documented steps in notebooks in the form of markdown
• Follow best practices for test driven environment, continuous integration
• Design, develop, test and implement end-to-end requirement

Education

• Bachelor's degree in engineering, computer science, statistics, mathematics, information systems, or a related field from an accredited college or university;
  Master's degree from an accredited college or university is preferred.

Analytics & Tag Management

• Deep experience working with tag management solutions such as Google Tag Manager (GTM), Adobe Launch (formerly DTM), Tealium, Ensighten, etc.
• Deep experience working with site analytics tools such as Google Analytics and Adobe Analytics
• Deep experience working with user behavioral data, such as web analytics (Google/Adobe Analytics)
• Experience implementing mobile app analytics
• Experience integrating first and third party data with analytics to drive deeper insights

Web & App Development Knowledge

• Understanding of front-end web development;
  Experience using DOM traversal methods, using Java script to capture values to be used for analytics variables
• Experience/understanding of building analytics variables using server-side values
• Understanding of Node.js is a plus, but not required

Data Science & Machine Learning

• Experience building ML models and pipelines using MLflow, Air Flow
• Advanced knowledge of data science techniques, and experience building, maintaining, and documenting models/advanced analytics techniques
• Strong analytic skills related to working with unstructured datasets
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• A successful history of manipulating, processing and extracting value from large disconnected datasets

Data Engineering & Cloud Technologies

• Strong understanding of RDBMS data structure, Azure Tables, Blob, and other data sources
• Experience building and optimizing ADF and…