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

• medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.