About The Position

The Aftersales Data Analyst Intern will be responsible for cleaning, analyzing, and visualizing data sets to support decision-making across the organization. This is an excellent opportunity for a student or soon to be graduate to gain hands-on experience working with data sets and building dashboards to inform business decisions.

Requirements

  • Ability to work independently and collaboratively to make sound decisions
  • Ability to prioritize workload in a fast-paced, changing environment
  • Excellent analytical, organizational and communication skills
  • Experience with data analytics, data modeling, data management, and data reporting and visualization tools (Tableau, Power BI or similar)
  • Relevant experience with cloud-based data platforms (Teradata, Snowflake, Salesforce)
  • Proficiency with SQL and Python programming languages
  • Proficiency with Microsoft Office Suite

Responsibilities

  • Learn business systems and how data is created in Field Service
  • Perform ad-hoc analysis using SQL, Python, and ETL skills along with report building as the business dictates
  • Generate ad-hoc queries to support Field Service analysis requests from internal/external stakeholders
  • Gather information, analyze data, and collaborate to assist with projects to support warranty reduction
  • Create visualizations and reports to communicate findings to various stakeholders
  • Work with Field Service leadership to gather requirements, develop data solutions and foster data-driven decision making across the organization

Benefits

  • 401k with up to a 5% company match
  • Sick Leave
  • Medical, dental, and vision plans for you and your family
  • Flexible spending accounts (FSA) and health savings account (HSA)
  • Life and accidental death and dismemberment insurance
  • EAP services include wellness plans, estate planning, financial counseling and more
  • Global Fortune 500 company with a wide array of growth, training, and development opportunities
  • Work alongside experienced goal-oriented colleagues recognized as experts in their field
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