Responsibilities

• Media Performance Subject Matter Expertise: Demonstrate deep expertise in marketing data connection, manipulation, and visualization, staying ahead of industry trends in AdTech and MarTech.
• Dashboard Development & Maintenance: Lead the development and ensure the integrity of automated client reports and interactive dashboards.
• Advanced Media Analysis: Execute comprehensive performance analyses across various media channels (Paid Search, Social, Programmatic, etc.) to identify trends, optimizations, and ROI drivers.
• Strategic Communication: Translate complex datasets into clear "storytelling" insights for internal strategists and external stakeholders, providing context on how data impacts business objectives.
• Pipeline Management: Manage and optimize processes for data intake and validation from various Media Platforms and Google Analytics, ensuring the integrity of the agency's data ecosystem.
• Process Innovation: Adhere to and improve internal documentation and data management protocols to ensure scalability across client accounts.
• Mentorship & Training: Share technical expertise with the team to foster a high-growth learning environment; assist in training new hires and mentoring junior analysts on best practices in marketing analytics.
• Agency Collaboration: Maintain accurate time records and participate in internal training and client-facing meetings as the technical authority on media performance.

Requirements

• Professional Experience: Minimum of 3–5 years of experience in marketing data, media performance analysis, and visualization (agency experience is a significant plus)
• Tableau Mastery: Proficiency with a BI tool (Tableau, Power BI, or Looker) for building complex, automated marketing dashboards and data modeling
• Google Analytics: Strong experience with GA4 reporting, including UTM setup and structure, event tracking, and traffic analysis
• Media Platforms: Deep familiarity with reporting interfaces and data exports from major platforms (e.g., Meta Ads Manager, Google Ads, LinkedIn Campaign Manager, and Programmatic DSPs)
• Marketing Storytelling: Ability to bridge the gap between technical data and marketing strategy, presenting findings in a way that is accessible to non-technical audiences
• Documentation: Proven ability to create training materials and SOPs for data processes
• Education: Bachelor’s Degree: Required, preferably in Marketing, Advertising, Economics, Statistics, or a related quantitative field

Preferred

• SQL: Experience using SQL for data querying and manipulation within cloud-based warehouses (e.g., BigQuery)
• Data Engineering: Familiarity with ETL processes and API integrations for marketing tools to guide our data team
• Statistical Modeling: Experience with attribution modeling, media mix modeling (MMM), multi-touch attribution (MTA), or A/B testing methodology
• Leadership: Experience leading projects or mentoring junior team members in a professional setting

Benefits

• Insurance Coverage (medical, dental, vision, life, and disability)
• 401(k) retirement plan, with employer 4% match
• Work/life benefits, including mental health and wellbeing support
• Flexible Time Off Policy
• Paid holidays, including agency soft closing Christmas Eve-New Year’s Day
• Paid leave options, including sick leave, medical leave for self and family, and parental leave
• Amazing opportunities for career development
• Recognition programs
• Employee referral bonus
• Hybrid work schedule; 3 days in the office, 2 days working from home