Data Analyst II - Marketing Analytics

About the role

You’ll perform in-depth analyses to best evaluate marketing investment and drive optimal spending decisions. You will build scalable reporting solutions that enable confident, data-driven decision-making and deliver reliable data-driven insights that contribute to marketing strategy, while working closely with predictive models and forecasting algorithms.

Responsibilities

• Build scalable reporting solutions that enable confident, data-driven decision-making.
• Deliver clear, meaningful insights to complex, ambiguous questions.
• Leverage analytical expertise and sound statistical reasoning to deliver clear, meaningful insights to complex, ambiguous questions.
• Collaborate with team members to review analyses, code, and dashboards, ensuring high-quality deliverables that answer the right questions.

Requirements

• Bachelor's degree in Statistics, Computer Science, or a related field required; advanced degree a plus.
• 3+ years working in an analytical role in a business context is required; experience in marketing analytics is strongly desired.
• Strong proficiency in SQL, including ability to write moderately complex SQL queries to build tables and views and extract data needed for analysis.
• Strong proficiency in Tableau and Excel, with Python or R experience preferred as well.
• Strong background in statistical analysis, with practical experience in experimental design, forecasting, and incrementality testing, and understanding of foundational statistical concepts (conditional probability, causal inference, statistical significance).
• Experience reporting on and analyzing outputs from machine learning models.
• Experience using AI code generation tools such as Snowflake Intelligence, Github CoPilot, and Anthropic Claude Code.
• Strong cross-functional collaboration skills, with the ability to work effectively across teams and build alignment.
• Strong communication and data storytelling skills, with the ability to explain complex ideas clearly to non-technical audiences in both written and verbal formats.
• Strong curiosity that doesn’t stop at the “What?” but seeks to understand the “Why?” and “What if?”

Qualifications

• Strong proficiency in SQL, including ability to write moderately complex SQL queries to build tables and views and extract data needed for analysis.
• Strong proficiency in Tableau and Excel, with Python or R experience preferred as well.
• Strong background in statistical analysis, with practical experience in experimental design, forecasting, and incrementality testing, and understanding of foundational statistical concepts (conditional probability, causal inference, statistical significance).
• Experience reporting on and analyzing outputs from machine learning models.
• Experience using AI code generation tools such as Snowflake Intelligence, Github CoPilot, and Anthropic Claude Code.
• Strong cross-functional collaboration skills, with the ability to work effectively across teams and build alignment.
• Strong communication and data storytelling skills, with the ability to explain complex ideas clearly to non-technical audiences in both written and verbal formats.
• Strong curiosity that doesn’t stop at the “What?” but seeks to understand the “Why?” and “What if?”

Skills

• SQL
• Tableau
• Excel
• Python/R
• Statistical Analysis
• Machine Learning
• AI Code Generation Tools

Benefits

• Health benefits
• 401K retirement plan
• Paid-time off

Pay

$78,200.00 - $135,400.00

Schedule

N/A