Role Context

The Digital Analytics Lead (DAL) acts as a bridge between business teams and technical teams, ensuring web analytics, e-commerce data and 3rd party data are leveraged to drive insights and decisions.

This role involves gathering requirements, analysing, and integrating data, developing prototypes, maintaining our Web analytics platform and KPI.

It requires both technical expertise and a deep understanding of business needs, combined with the ability to deliver operational support.

The position requires hands-on capabilities of directly working with data and actively contributing to automating business processes.

The DAL must go beyond coordination tasks and be able independently to handle data manipulation and initial solution design.

 Key Responsibilities

1. Requirement Gathering and Analysis

Collaborate with business users to understand their challenges and needs.Provide advice on existing solutions and identify opportunities for improvement or innovation.Prepare a comprehensive business requirements document, clearly outlining business objectives and functional needs.

2.Web Analytics Platform Management

Manage the implementation, configuration, and maintenance of the Google Analytics platform (including GA4).Ensure comprehensive tagging and data collection through Google Tag Manage.Work with the Global Team to propose KPI that are aligned with the regions.Perform regular audits and troubleshooting to ensure data accuracy and consistency.

3. Prototyping and Results Delivery

Design and develop prototypes, including data preparation or intermediate analyses, to validate business use cases before full-scale implementation.Ensure the clarity and relevance of KPIs and analyses presented to stakeholders.Train users on the different solutions to maximize their adoption.

4. Functional Specifications and collaboration with Technical Teams

Translate business requirements into detailed functional specifications for technical team.Work closely with technical team to ensure the implemented solutions meet business expectations.

  

5. E-commerce and External data Integration

Work with e-commerce teams to integrate Ecom data in our data lake for analytics and reporting purposes.Collaborate with internal teams and external vendors to incorporate third-party data like marketing data, market share analysis, consumer feedbacks.

6. Business Process Automation

Identify manual data handling processes performed by users and propose automation solutions.Collaborate with users to optimize workflows and ensure smooth adoption of the delivered solutions.

  

Required Skills

Functional Skills

Business Understanding: Ability to interact with non-technical stakeholders to understand their challenges and goals.Web Analytics: Proficient in Google Analytics (including GA4) and web performance metrics.Requirement Documentation: Ability to structure and document business needs clearly and comprehensively for technical teams.Communication and Training: Skilled in guiding users and presenting proposed solutions effectively.Critical Thinking: Capability to ask the right questions to clarify needs and identify tailored solutions, challenge the benefits of the requirements.Data Integration: Experience integrating e-commerce data from OMS systems and third-party marketing data sources.Automation Expertise: Experience in analysing and redesigning business processes to automate them with data solutions.

Technical Skills

Tag Management: Expertise in Google Tag Manager for implementing and managing tags.Third-Party Data: Familiarity with external marketing data platforms (e.g., Funnel, consumer feedback solutions).Business Intelligence : Experience in creating dashboards using tools Looker, Tableau , Power BIData Analysis: Skilled in Excel, SQL, and other data tools for data validation and manipulationPrototyping: Ability to rapidly develop proof of concept using solution like Tableau Prep, Power BI.

R-20250723-0043