JOB DESCRIPTION Job Title: DATA ANALYST (I)
Summary/Objective: Data analyst will be responsible for supporting and developing reporting and visualization by collecting data about an organization's operations. Their primary duties include researching business processes and creating reports that transform data into insight that can help to improve the value of the business.
Essential Functions/Responsibilities:
- Connect dots and communicate gaps up stream to supporting teams, as well as downstream to consumers
- Assist with corporate wide reporting and dashboard needs
- Modify and maintain existing reports/dashboards and subscriptions to support business requirements
- Field questions pertaining to reports and dashboards
- Troubleshooting issues for existing reports and dashboards
- Domain specific presentation and analysis of datasets
*The responsibilities as defined are intended to serve as a general guideline for this position. Associates may be asked to perform additional tasks depending on strengths and capabilities. *
Required Experience:
- 1+ Years Experience in a Data Analyst role; preferably in sales, marketing, or manufacturing. Connector Manufacturing, Operations, Sales, or Marketing experience is desired.
- Must be a self-starter with strong leadership skills.
- Excellent communication skills and demonstrated problem-solving ability.
- Detail oriented, excellent problem solving, multi-tasking, and investigation skills.
- Excellent interpersonal skills in relating to both internal and external customers.
- Proficient is MS Office applications (PowerPoint, Excel, Word, Outlook).
- Experience in Redshift or SQL, Redshift is preferred.
- Experience in Power BI or Tableau is required, PowerBI is preferred.
- Product, Process, Tooling, and alternative manufacturing method knowledge preferred.
Preferred Education:
- Bachelor's Degree in Business, Data Science, Natural Science, or Engineering is preferred.
- Experience can be substituted for educational requirements.
Training Required:
- On the job training as appropriate.
