Data Analyst

Main Function

• Work with all groups at PNY on developing reporting through Power Bi, Excel, etc.
• Ensure Worldwide reporting is accurate
• Work cross functionally with management on maintaining reports for relevancy
  
  

Qualifications

• Bachelor’s Degree or equivalent in Accounting or related field, MBA a plus
• 2+ years relevant experience
• Strong analytical skills and attention to detail a must
• Ability to adhere to strict deadlines
• Strong knowledge of accounting principles & experience with Excel, Power Bi, Cube/Data Warehouse
• Good written and oral communication skills, including ability to communicate effectively in English
  
  

Key Relationships

Finance, IT and all other departments at PNY

Duties And Responsibilities

To perform this job successfully, the individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Understand, utilize and implement new reporting tools like Power Bi
• Work closely with IT to develop reporting tools in Power Bi, Excel, etc.
• Partner with different departments to prepare and analyze company data
• Collecting and analyzing data from various sources, such as supply, inventory, forecasts, and market trends
• Developing and maintaining reports, Power BI Dashboards, and metrics to measure and evaluate the performance within individual departments
• Data Cleaning and Preparation: Ensure data quality by cleaning and preparing datasets for analysis, including handling missing values and filtering data.
• Statistical Analysis: Perform statistical analysis to identify trends, patterns, and correlations within the data.
• Data Visualization: Create visualizations to represent data insights clearly and effectively using tools like Power Bi, Tableau, or similar.
• Predictive Analysis: Utilize machine learning techniques to forecast future trends and outcomes based on historical data.
• Strategic Planning: Assist leadership with strategic planning by providing data-driven insights and recommendations.
• Assist with special projects and in other areas, as assigned.