• Generating and maintaining reports on sales and marketing execution
• Providing data-driven insights on marketing strategies/activities including campaign planning, customer segment selection, customer lifetime value analysis, and any other information as required by business functions and leaders. This includes inputs to annual planning process as well as individual campaigns.
• Measuring and tracking channel-specific performance (e.g., direct mail campaigns, email campaigns) to support the decision-making process for marketing initiatives
• Providing analytical support in promotion tracking and measurement
• Monitoring daily/weekly/monthly metrics and alert business leaders to issues and trends
• Keeping informed of market conditions and marketing trends
• Analyzing the occurrence, and reasons behind, customer churn
• Automating manual processes and finding other efficiencies to better deliver for the business
• Analyze business activities and present results and recommendations to enhance strategies both for awareness, effectiveness, and overall financial benefit
• Primarily, the Marketing Analyst will help ensure to spends its marketing budget efficiently
• Performing quality check (QC) on various reports/data sets/dashboards to ensure business needs are met
• Automating and streamlining business/ decision making processes by using automated dashboards with data visualization tools.

Requirements

• Bachelor’s degree in Marketing, Economics, Finance, Statistics, or related field
• Previous work experience as a Marketing Analyst or similar role
• Previous work experience in data analysis and working with large datasets
• Experience with Microsoft Office Suite, particularly Excel, PowerPoint, and Outlook
• Good SQL skills
• Experience with SAS, Python, and/or R
• Experience with Marketing Mix / Media Mix Models
• Possess strong analytical skills and the ability to manage projects and processes end to end with a strong attention to detail
• Understanding of business calculations to determine return on investment, cost per acquisition, profitability, high value segments, and market analysis
• Experience with data science modeling, machine learning techniques and predictive analytics a plus
• Experience with Data Visualization tools a plus; i.e Tableau
• Ability to work under tight deadlines and thrive in an entrepreneurial environment.
• Able to communicate quantitative information in a qualitative manner
• Must be detail-oriented and very organized with the ability to multi-task to deliver timely output and handle shifting priorities professionally. The ability to manage/manipulate large data sets efficiently while keeping data very organized and clean is also very important