Senior Media Analyst

Responsibilities

• Work with the Analytics Manager and media teams to create measurable online and offline campaign objectives and key performance indicators.
• Determine campaign data and tracking requirements and support measurement systems for accurate data capture and reporting.
• Perform ongoing campaign and client-specific analyses to identify insights, support optimization, and inform future media decisions.
• Serve as a key liaison between technical data-engineering resources, analytics teams, and media stakeholders, helping translate business and media requirements into clear data needs.
• Support the implementation and enforcement of data quality assurance and quality control processes, including validating data inputs, identifying discrepancies, and coordinating issue resolution across teams.
• Partner closely with technical teams to understand data workflows, investigate data-quality issues, and ensure outputs are accurate, complete, and aligned with business requirements.
• Develop a detailed understanding of paid-media data, campaign taxonomy, reporting requirements, and the processes through which data moves between platforms and teams.
• Communicate data issues and technical concepts clearly to both technical and non-technical partners, serving as connective tissue across teams with different areas of expertise.
• Build a body of knowledge on media, technology, and strategy performance to inform future decisions related to schedules, budgets, partners, and strategies.

Requirements

• 2+ years of experience within an analytics function in the marketing or media industry, including experience working with online media.
• Strong understanding of paid-media data and the ability to discuss campaign data, measurement, and reporting requirements fluently.
• Experience reviewing, validating, or troubleshooting data, with strong attention to detail and an understanding of Quality Assurance/Quality Control principles.
• Strong analytical, critical thinking, and problem-solving skills, with the ability to investigate complex issues, identify root causes, evaluate contributing factors, and communicate findings to both technical and non-technical stakeholders.
• Interest in developing deeper technical expertise and partnering closely with data engineers, data workflows, and large-scale data environments.
• Experience analyzing large data sets to develop insights and learnings.
• Demonstrated resourcefulness and learning agility, with the ability to quickly adapt to new technologies, tools, and business domains.
• Ability to work effectively in ambiguous environments, independently prioritize competing demands, and drive solutions with limited direction.
• Strong hands-on SQL experience, including multi-table joins, window functions, aggregations, and data validation across large datasets.
• Bachelor’s degree in Analytics, Statistic

Preferred

• Exposure to cloud-based data platforms and data workflow tools such as Databricks, Snowflake, or similar technologies.
• Experience with Python for data manipulation and analysis (PySpark or equivalent), including the ability to read, write, modify, and troubleshoot scripts and notebooks independently.

Benefits

• Our Publicis Groupe motto “Viva La Différence” means we’re better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.
• Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.