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Marketing Analytics Intern

Bath Saver, Inc. dba Bath Fitter
Email

Marketing Analytics Intern

Full Time or Part Time, will work around your schedule 

$20/hr

Located in Lewisberry PA

Brian Florek

717-495-5185

bflorek@bathsaver.com

As a Marketing Analytics Intern, you will support the growth of Bath Fitter / Kitchen Saver by using a variety of data sources and tools to identify sales and market share trends, consumer insights, and strategic opportunities for the business. You will proactively share insights with Marketing management to help the organization make data-driven decisions by utilizing a variety of data and insights platforms and tools.

You are responsible for

  • Making Data-Driven Recommendations: Utilize data to provide actionable insights and recommendations that can improve marketing strategies and overall company performance.
  • Statistical Analysis: Determine the statistical significance of data to ensure the reliability and validity of your findings.
  • Marketing Analysis and Reporting: Analyze the results of various marketing efforts and compile comprehensive reports to highlight key performance indicators, trends, and areas for improvement.
  • Forecasting: Work on forecasting marketing trends and performance metrics for the year 2025, leveraging historical data and predictive analytics.
  • Budget Assistance: Assist management in developing the marketing budget for 2025 by providing data-driven insights and supporting documentation.
  • Power BI Reporting: Help build and maintain Power BI reports to visualize data and support decision-making processes.

To succeed in this role, you should have the following skills and experience

  • Must be Pursuing a degree in Business, Mathematics, Computer Science or related field
  • Must have experience working with large data sets
  • Strong technical, analytical, and business aptitude
  • Demonstrated ability in all Microsoft Office Suite tools, especially Microsoft Excel
  • Ability to connect the dots between data sources
  • Skilled at storytelling & data visualization
  • (Preferred) Experience with MS SQL server and understanding of its data objects and concepts
  • (Preferred) Experience with MS Power BI as a reporting platform