Data Analytics & Business Intelligence Senior Associate

The Data Analytics & Business Intelligence Senior Associate will provide advanced data science and analytics expertise to GroupM Nexus solutions by integrating, transforming, and analyzing data from multiple sources to deliver reliable insights and measurable business outcomes. The role will drive the development, automation, and continuous improvement of data products and measurement solutions using Python, SQL, statistical analysis, machine learning, and data visualization tools, while ensuring data quality, availability, and scalability. By researching new data sources, measurement techniques, and emerging AI and ML capabilities, this position will strengthen the organization’s ability to predict performance, support client objectives, and turn complex data into actionable insights.

Responsibilities

Provide advanced data science and analytics expertise to GroupM Nexus solutions by integrating, transforming, and analyzing data from multiple sources to deliver reliable insights and measurable business outcomes; Drive the development, automation, and continuous improvement of data products and measurement solutions using Python, SQL, statistical analysis, machine learning, and data visualization tools, while ensuring data quality, availability, and scalability; Research new data sources, measurement techniques, and emerging AI and ML capabilities to strengthen the organization’s ability to predict performance, support client objectives, and turn complex data into actionable insights

Requirements

Strong background in Data Analytics, Data Science, or Business Intelligence, with a quantitative or business-oriented degree; Advanced knowledge of Python, SQL, and relational/non-relational databases, including data integration, transformation, and automation; Experience with statistical analysis, experimentation, measurement frameworks, and basic Machine Learning techniques; Familiarity with digital marketing analytics and measurement platforms, including Google Analytics 4, Google Tag Manager, and media data ecosystems; Strong analytical, problem-solving, and communication skills, with experience translating complex data into actionable insights and reporting through tools such as Power BI, Tableau, Looker Studio, or Datorama

Benefits

Competitive medical; group retirement plans; vision; dental insurance; significant paid time off; preferential partner discounts; employee mental health awareness days; access to global WPP Media and WPP networks; employee resource groups; in-office events