Responsibilities

• Leads a cross-functional team performing and delivering data requirements, dashboards, custom and ad hoc analyses (advertising performance, website analytics, survey design/analysis, ROI modeling, cross channel analysis).
• Understands the client’s business and develops innovative problem-solving approaches; presents deliverables that articulate business value/impact.
• Steward development of measurement strategies, learning agendas and roadmaps with input from internal stakeholders.
• Empowers direct reports to own their client, relationships, and projects.
• Maintains positive, collaborative partnerships with internal stakeholders and clients.
• Acts as the senior most point of contact point of contact for Marketing Effectiveness, adapting to business challenges with agility and direction.
• Exhibits strong analytical, project management, storytelling and communication skills.
• Leads new business efforts to enable business growth and development (new and existing accounts).
• Leads (and is the voice of) local/national department initiatives, elevating the work, providing training, knowledge sharing, and best practices.
• Interacts with leadership/management teams; crafts and implements the vision.

Requirements

• Bachelor's degree in Statistics, Economics, Data Science or related quantitative field
• 12+ years in a quantitative business environment
• 6+ years in marketing analytics with knowledge of the media planning process
• Excellent written and verbal communication skills, with the ability to convey complex findings in simple terms
• Strong organizational skills, political instincts, and proven-leadership ability
• Advanced media measurement capabilities (i.e.MMM, MTA), and planning A/B and Match Market testing
• Demonstrates understanding of media planning and buying with a focus on media measurement and digital tracking including limitations and advantages
• Experience in data visualization (Excel, Tableau, Power BI, Datorama)
• Advanced MS Office Skills (MS Word, Excel, Powerpoint)
• Advanced in SQL, Python, or R

Preferred

• Master's degree preferred
• Familiarity with MMPs and site analytics: Adobe and Kochava experience is preferred
• Advanced in SQL, Python, or R (preferred)
• Experience in data visualization (Excel, Tableau, Power BI, Datorama) (preferred)

Benefits

• Medical, vision, and dental insurance,
• Life insurance,
• Short-term and long-term disability insurance,
• 401k,
• Flexible paid time off,
• At least 15 paid holidays per year,
• Paid sick and safe leave, and
• Paid parental leave.