Digital Analytics Lead

Reporting to the Manager of Digital Analytics, the Digital Analytics Lead will play a central role in analytics operations, providing data-driven insights to enhance our strategic development and expedite decision-making. This position requires a deep understanding of our business logic, managing and analyzing first-party data, and leveraging expertise in machine learning and NLP to address practical business challenges. You will collaborate with a large analytics team, guiding and supporting them in establishing a robust and stable data flow and automation process.

ACCOUNTABILITIES

• Partner with Digital Analytics and business teams to comprehend their challenges and objectives, translating business requirements into analytical projects.
• Extract, clean, and preprocess data from various sources, including cloud and local databases, ensuring an efficient and seamless data flow.
• Develop and maintain a robust data infrastructure to support analytics and machine learning operations.
• Collaborate with business analysts to design, build, and implement machine learning or NLP models that address specific business needs, ensuring scalability and interpretability.
• Conduct comprehensive data analyses using SQL and Python, transforming complex datasets into clear insights and actionable recommendations by working closely with business analysts.
• Communicate findings and recommendations to non-technical stakeholders, providing data-driven support for business decisions.
• Engage in cross-functional projects, showcasing strong teamwork skills and contributing to a collaborative work environment.

REQUIREMENTS

• Demonstrated experience working on digital programs and platforms in digital channels, either in an agency or client-side environment.
• Minimum of 3 years of experience in Digital Creative and/or Digital Media agencies, or client-side digital roles within a digital department.
• Strong understanding of business logic and the ability to apply analytical approaches to solve business problems, with experience in channel sales and e-commerce analytics preferred.
• Proficient in SQL and Python, with a solid foundation in data manipulation and analysis.
• Extensive knowledge of cloud and local database services, with a thorough understanding of data infrastructure and data flow. Familiarity with at least two popular databases is required.
• Experience with mainstream machine learning and NLP methodologies, with the ability to apply these techniques in a business context.
• Excellent communication skills in English, with the ability to explain complex concepts to a non-technical audience.