Lead Analyst, Audience Analytics and Targeting

Jobtailor; New York (NY); On-site; USD 170,000 - 210,000; Full time

Job summary

Jobtailor in New York, NY seeks a senior analytics leader to define an analytics roadmap for audience development and targeting, enhancing ad relevance and campaign performance.

You will analyze audience strategy, identify opportunities in 1P data and CDP assets, and develop AI/ML models to improve engagement while aligning with regulatory requirements. Leadership and communication skills are essential.

Qualifications

• 6-10 years of progressive experience in data analytics, BI, or quantitative analysis in financial services, digital media, marketing, or retail.
• Deep understanding of commerce/retail media landscape, audience capabilities, data strategy, and monetization.
• Strong knowledge of digital marketing KPIs: ROAS, impressions, CTR, CPA.
• Proficiency in statistical analysis, predictive modeling, ML techniques, and experimental design/A-B testing.

Responsibilities

• Develop an analytics roadmap for audience development and targeting to improve ad relevance 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 growth and track actuals vs 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 laws and policies, report control issues

Skills

Data Analytics

Audience Development

AI/ML Targeting Solutions

Statistical Analysis

Business Intelligence

Audience Segmentation

Predictive Modeling

Experimental Design

Machine Learning Techniques

Verbal Communication

Written Communication

Critical Thinking

Problem-Solving

Attention to Detail

SQL

Python

R

Education

Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or related quantitative discipline

Master's degree or PhD in a quantitative field, Business Analytics, or MBA with analytical focus

Tools

Snowflake

Tableau

Power BI

QlikView

CDPs

Clean Rooms

DSP Integrations

Job description

• 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