Lead Analyst, Audience Analytics and Targeting Job at Jobtailor in New York

Develop an analytics roadmap for audience development and targeting to improve ad and offer relevance
Analyze audience strategy for advertiser relevance and targeting needs
Generate insights on audience composition, behavior, and performance to inform go-to-market strategy
Identify new audience offerings and custom audience opportunities using Citi data assets and campaign learnings
Develop targeting solutions and AI/ML models to drive customer engagement
Build and integrate Gen AI capabilities to accelerate audience development and insights generation
Partner with Finance and Product teams to forecast business growth and revenue and track actuals versus forecast
Work in a high-performing team and develop team members
Partner with Product Development, Sales, Ad Ops, Analytics Measurement, Marketing, and Technology teams
Integrate analytical insights into product design, marketing campaigns, and business development initiatives
Assess and manage risk, comply with applicable laws, rules, regulations, and policies, and escape, manage, and report control issues
Requirements

6-10 years of progressive experience in data analytics, business intelligence, or quantitative analysis within financial services, digital media, marketing, or retail
Deep understanding of commerce or retail media landscape, including audience capabilities, revenue streams, data strategy, and commercialization strategy
Deep understanding of digital media and marketing ecosystem, including marketing channels, media buy models, audience activation platforms, CDPs, clean rooms, and DSP integrations
Knowledge of digital marketing KPIs including ROAS, impressions, CTR, and CPA
Proficiency in statistical analysis, predictive modeling, machine learning techniques, and experimental design/A-B testing
Experience building audience segments using 1P data, behavioral signals, and transaction data
Experience with large-scale data platforms and tools such as Snowflake
Experience working with first-party data and privacy-safe data environments such as clean rooms and identity resolution
Familiarity with audience activation platforms such as CDPs, clean rooms, and DSP integrations
Hands-on experience building AI/ML targeting solutions using regression and tree-based algorithms
Hands-on experience with business intelligence and data visualization tools such as Tableau, Power BI, or QlikView
Bachelor's degree required in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related quantitative discipline
Exceptional verbal and written communication skills
Strong critical thinking, problem-solving abilities, and meticulous attention to detail
Preferred: proficiency in SQL, Python, or R
Preferred: experience with consumer banking products and customer lifecycle analytics
Preferred: Master's degree or PhD in a quantitative field, Business Analytics, or an MBA with a strong analytical focus
Core Competencies

Demonstrates expertise in data analytics and audience development, leveraging AI/ML models and statistical analysis to drive customer engagement and inform marketing strategies. Proficient in integrating analytical insights into product design and business initiatives while ensuring compliance with relevant regulations.
Highest-signal resume keywords

Data Analytics
Audience Development
AI/ML Targeting Solutions
Statistical Analysis
Business Intelligence
Hard Skills

Predictive Modeling
Experimental Design
Audience Segmentation
Statistical Analysis
Machine Learning Techniques
SQL
Python
R
Data Visualization
Data Strategy
Soft Skills

Verbal Communication
Written Communication
Critical Thinking
Problem-Solving
Attention to Detail
Industry Keywords

Digital Media
Marketing
Retail
Commerce
Audience Activation
Revenue Streams
Privacy-Safe Data Environments
Tools & Technologies

Snowflake
Tableau
Power BI
QlikView
CDPs
Clean Rooms
DSP Integrations

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