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Role Description

The Marketing Analyst is a high-performing and highly visible role whose primary mission is to provide key business and performance intelligence to executive management that enables accurate, efficient, and optimal financial management.

The Marketing Analyst II will be responsible for performance analysis across various growth channels including:

• Paid search
• Paid social
• Partner/affiliate
• Direct mail

This role is ideal for someone who thrives in a fast-paced environment, enjoys solving complex problems, and can translate data into actionable insights. You’ll also own ad operations ensuring pixels, events, tags, and instrumentation are accurate, privacy-compliant, and robust.

Specifically, the Marketing Analyst II will work with other team members and business partners to:

• Gather, manipulate, research, and understand data
• Employ this data to inform spending decisions and campaign optimizations

This role involves synthesizing insights from multiple sources—including:

• Campaign performance
• Customer behavior
• Market trends

to inform budget allocation, optimize marketing spend, and enhance campaign effectiveness across digital and traditional channels.

Qualifications

• Bachelor’s Degree in Business Analytics, Data Science, Operations Research, Industrial Engineering, Economics, or a related quantitative field
• 3+ years of relevant work experience in a data-centric role (e.g. product analytics, business intelligence, investment banking, financial/risk modeling, pricing, management consulting, etc.)
• 2+ years of marketing analyst experience
• 2+ years experience using R or Python in an analytical environment and an excellent understanding of SQL
• Experience in ad platform data and event management (Google ads, Meta)
• Experience with Google Tag Manager

Requirements

• Solid understanding of marketing concepts and marketing performance measurement concepts
• Comfortable working in a fast-paced environment
• Excellent communication and presentation skills, including the ability to synthesize large sets of data into key findings
• Ability to methodically execute complex computational processes accurately and efficiently in a time-sensitive environment
• High levels of intellectual curiosity and a strong desire to explore and understand business concepts and problems
• Technical ability to maintain, execute, and enhance the models on the model platform
• Business acumen to understand, synthesize, and present the results to management
• Creativity, critical thinking, initiative, and problem-solving skills
• Willingness and interest in independently learning and researching new or better possible ways to model or answer analytical problems
• Interest in and appreciation for a position that grants exposure to multiple levels of modeling and analysis across finance, credit, financial planning, and accounting
• Attention to detail
• Drive to perfection
• Ability to solve problems individually by exhausting all available resources
• A motivated individual able to work alone as well as in groups
• Ability to multi-task and manage tight deadlines
• Strong written, verbal, and interpersonal skills
• Focus on efficiency improvements and automation
• Understanding of data structures and ability to quickly learn new databases and tools

Company Description