Marketing Analyst I

Responsibilities

• Analyze customer behavior, sales, marketing, and operational data to identify trends, patterns, risks, and opportunities that support business growth and strategic decision-making.
• Develop a strong understanding of customer acquisition, retention, profitability, and lifecycle performance to help answer key business questions and support organizational objectives.
• Aggregate, transform, clean, and prepare large datasets from multiple sources to support reporting, analysis, and modeling activities.
• Extract, transform, and load data from a variety of sources, including databases, third-party APIs, CRM platforms, marketing systems, and internal applications.
• Design, develop, and maintain dashboards, reports, and visualizations that communicate complex information in a clear and actionable manner.
• Conduct ad hoc analyses, customer segmentation studies, campaign evaluations, A/B testing, and other analytical projects to support business initiatives.
• Apply analytical techniques to evaluate customer behavior, marketing effectiveness, sales performance, and other business outcomes.
• Support forecasting, planning, and performance measurement efforts by identifying trends and providing data-driven insights.
• Validate data inputs, outputs, calculations, assumptions, and anomalies to help ensure analytical accuracy and reliability.
• Document methodologies, business rules, assumptions, and data definitions to support transparency, reusability, and long-term maintenance.

Preferred

• Bachelor's degree in Data Science, Data Analytics, Engineering, Economics, Statistics, Marketing, Business Analytics, Finance, Mathematics, or a related quantitative field preferred.
• Internship, co-op, academic project, or professional experience involving data analysis, business analysis, marketing analytics, customer analytics, or a related quantitative discipline.
• Proficiency in Microsoft Excel and exposure to analytical tools such as SQL, Python, R, Power BI, Tableau, or similar technologies.
• Basic understanding of data analysis, data validation, and structured problem-solving concepts.
• Exposure to data preparation, data transformation, database concepts, or reporting through coursework, projects, internships, or professional experience.
• Interest or exposure to customer analytics, marketing analytics, sales analytics, or business intelligence reporting.
• Interest in understanding customer behavior and the factors that influence how customers engage with products, services, and marketing efforts.
• Experience creating dashboards, reports, presentations, or visualizations that communicate information clearly and effectively.
• Exposure to analytical techniques such as regression analysis, forecasting, A/B testing, hypothesis testing, or other quantitative methods through coursework, projects, or professional experience.
• Excellent time management and organizational skills with the ability to manage multiple priorities.

Benefits

• Full medical, dental, and vision coverage
• Employer-paid life and disability coverage
• Annual employer contributions of up to 12.5% to your 401k
• Remote work options available based on business needs
• Annual performance incentive is a % of annual benchmark based on position level
• Paid four-week sabbatical every five years
• Opportunities to volunteer in the community
• Education assistance up to $5250 per year