Revenue Data Analyst Internship

Responsibilities

• Data Collection and Preparation 
• Collaborate with teams within the Revenue department and cross-functionally to understand data requirements and define data collection methodologies.
• Collect, extract, and integrate relevant data from multiple sources, such as customer databases, marketing platforms, web analytics tools, and CRM systems through the BI pipeline.
• Clean, validate, and transform data to ensure accuracy, consistency, and reliability for analysis.


• Reporting and Visualization
• Conduct data quality and curation activities to refine Tableau reports, ensuring the retention of pertinent and accurate data visualizations.
• Utilize data visualization tools (Tableau) to create visual representations of data and communicate insights effectively.
• Collaborate with the sales and marketing teams to create regular performance reports for campaigns, channels, and marketing initiatives.


• Data Analysis and Insights
• Conduct customer segmentation and profiling analysis to identify target audiences and understand their behaviors and preferences.
• Analyze campaign performance metrics, including ROI, conversion rates, customer acquisition costs, and customer lifetime value.
• Generate actionable insights from data analysis to optimize marketing strategies, improve customer acquisition and retention, and drive revenue growth.
• Create documentation for your dashboards/analysis to help people use and understand your results.

Qualifications

• Currently enrolled in a Bachelor's or Master's degree program in a quantitative field such as Statistics, Mathematics, Economics, Business Analytics, or a related discipline.
• Strong analytical and problem-solving skills, with the ability to work with large datasets and apply statistical techniques.
• Proficiency in SQL, or similar languages, and experience with data visualization tools such as Tableau, Power BI, or Excel.
• Familiarity with marketing analytics concepts and techniques (e.g., segmentation, campaign attribution).Excellent communication skills, both written and verbal, with the ability to present complex findings in a clear and concise manner.
• Strong attention to detail and ability to work independently, managing multiple tasks and deadlines effectively.
• Previous experience with revenue analysis, marketing analytics, or related internships is a plus, but not required.
• Knowledge of revenue forecasting and predictive analytics is a plus.