Associate Director, Data Science and Analytics

Responsibilities

Lead end-to-end media analytics and measurement strategy across campaigns
Translate performance data into actionable insights that drive optimization
Develop measurement frameworks and learning agendas aligned to goals
Deliver audience, competitive, and cross-channel insights to inform strategy
Ensure dashboards and outputs are polished, intuitive, and decision-ready
Mentor team members to elevate work from reporting to insight generation

Core Capabilities (Strategy, Analytics & Tools):

Leads insight-driven measurement strategies tied to business outcomes
Identifies key performance drivers, gaps, and growth opportunities across campaigns
Develops and operationalizes measurement frameworks connecting media, audience, and business KPIs
Synthesizes cross-channel data into clear insights that inform optimization and planning
Leverages tools (CM360, Meta, Adobe/GA4, Tableau/Looker, GCP, Funnel.io) to generate insights at scale
Uses automation to reduce manual reporting and accelerate speed-to-insight
Applies advanced methods (testing, attribution, MMM) when needed to solve key business questions
Ensures strong data quality, taxonomy, and governance

Communication & Client Leadership:

Translates complex data into clear, concise insights that drive action
Leads client conversations focused on implications, tradeoffs, and next steps—not reporting
Delivers polished, executive-ready storytelling and presentations
Acts as a trusted advisor to clients, shaping strategy through data-informed recommendations
Brings proactive insights, trends, and opportunities to clients and internal teams
Aligns analytics with media and strategy to ensure insights translate into action
Coaches team members to elevate deliverables from data output to strategic recommendations

Qualifications

7+ years of experience in media analytics, marketing analytics, or data science, preferably within a digital or paid media environment
Strong expertise in paid media measurement, KPIs, and performance optimization across channels
Proven ability to translate data into clear insights and actionable recommendations that influence business decisions
Experience developing measurement frameworks, learning agendas, and performance strategies
Advanced proficiency with analytics and visualization tools (e.g., Adobe Analytics, GA4, Tableau, Looker)
Experience with data transformation, automation, and pipeline tools (e.g., SQL, GCP, Funnel.io)
Strong communication and storytelling skills with experience presenting to senior partners or clients
Ability to lead projects and mentor teams, ensuring delivery of high-quality, data-driven outputs