Marketing Science Analyst

About the Role

Key Responsibilities

• Partner with business stakeholders to define clear tactic goals and measurement objectives
• Design and implement experiments and measurement frameworks
• Extract and prepare data through querying and data manipulation
• Conduct rigorous statistical analyses to summarize and interpret results
• Develop compelling reports and visualizations that effectively communicate insights
• Provide data-driven recommendations to optimize marketing campaigns and maximize ROI
• Stay abreast of industry trends, emerging technologies, and best practices, proactively identifying opportunities for innovation

Requirements

• Proficient in querying and manipulating data using SQL, SAS, Python, or R
• Strong understanding of experimental design and evaluation methods for marketing performance
• Experience optimizing direct marketing KPIs across email, text, and direct mail channels with a focus on ROI
• Solid foundation in descriptive and inferential statistics (e.g., averages, chi-square tests, logistic regression)
• Familiarity with marketing models, advanced statistical techniques, and direct marketing principles
• Skilled in data visualization and business intelligence tools such as Excel, Power BI, Tableau, or QlikView
• Effective collaborator with the ability to work independently and within cross-functional teams
• Excellent communication skills, capable of presenting insights to diverse audiences across organizational levels

Nice to Have

• Experience with AI-driven marketing technologies and Customer Data Platforms (CDPs)
• Knowledge of experimentation platforms and their application in marketing
• Familiarity with cloud platforms such as AWS
• Understanding of integrated marketing funnels and how multiple channels interact to drive customer engagement

Qualifications

• Proficient in querying and manipulating data using SQL, SAS, Python, or R
• Strong understanding of experimental design and evaluation methods for marketing performance
• Experience optimizing direct marketing KPIs across email, text, and direct mail channels with a focus on ROI
• Solid foundation in descriptive and inferential statistics (e.g., averages, chi-square tests, logistic regression)
• Familiarity with marketing models, advanced statistical techniques, and direct marketing principles
• Skilled in data visualization and business intelligence tools such as Excel, Power BI, Tableau, or QlikView
• Effective collaborator with the ability to work independently and within cross-functional teams
• Excellent communication skills, capable of presenting insights to diverse audiences across organizational levels

Benefits & Perks

• Potential starting salary range: $95,800 - $121,900 (or $105,380 - $134,090 for certain locations)
• Potential yearly incentive pay up to 15% of base salary
• Work-life balance with a standard 38:45-hour work week
• Comprehensive health and wellbeing programs, including healthcare premium coverage, vision, dental, telemedicine, and mental health support
• Educational benefits such as training, tuition assistance, employee resource groups, and mentoring
• Financial planning resources, including retirement plans with company contributions, savings accounts, and financial coaching
• Generous paid time off policies, parental leave, holidays, and community service days
• Opportunities to give back through matching gift programs and grants
• Remote and hybrid work arrangements depending on location and eligibility