Senior Paid Media Analyst

About the Role

Key Responsibilities

• Manage analytics workstreams focused on media performance measurement and marketing attribution.
• Conduct ad hoc and deep-dive analyses aligned with team priorities.
• Partner with data engineering teams to design and build marketing infrastructure that addresses both business and analytical needs.
• Work cross-functionally to analyze the impact of experimentation on marketing metrics.
• Design and optimize reporting frameworks, ensuring timely and accurate delivery across the organization.
• Create and maintain dashboards to monitor strategic KPIs.
• Collaborate with various teams to consolidate data from multiple sources into unified repositories.
• Support integration of sales, operations, and consumer data to enable comprehensive analysis.
• Develop and refine performance metrics to measure and enhance business outcomes.
• Implement dashboards and reports to support strategic decision-making.
• Lead initiatives to enhance reporting processes and automation.
• Identify and implement workflow improvements to deliver actionable insights.
• Develop and present benchmark reports using advanced analytics techniques.
• Create and deploy predictive models.

Requirements

• Bachelor's degree in data science, Computer Science, Statistics, or a related field.
• Minimum 7 years of experience in data analytics or marketing analytics, with a proven track record in business intelligence and performance reporting.
• Hands-on experience with marketing measurement tools such as multi-touch attribution, media mix modeling, incrementality testing, matched market testing, and A/B testing.
• Advanced proficiency in Power BI and Excel for dashboard creation and data visualization.
• Strong expertise in SQL and familiarity with R or Python.
• Solid knowledge of data modeling and integration techniques.
• Ability to analyze large, complex datasets to identify trends and deliver actionable insights.
• Strong understanding of business metrics and forecasting techniques.
• Proven ability to collaborate effectively within a team and with cross-functional stakeholders.
• Exceptional attention to detail with a commitment to accuracy and timeliness.

Nice to Have

• Experience with data modeling and integration techniques.
• Knowledge of advanced analytics techniques and predictive modeling.

Qualifications

• Bachelor's degree in relevant field.
• Minimum 7 years of experience in data or marketing analytics.

Benefits & Perks

• Not specified in the description.