Intern - Data Analytics
Time type: full time
Posted on: September 25, 2024
Job requisition id: R4072
We want to learn from you! Our teams at Symbotic value theearly career talent that helpsus solve critical issues in creative and innovative ways. That is why we offerInternship and Co-op programs where students have the opportunity to work alongside industry professionals on some ofour most pivotalprojects. We invite students from institutions across the country to apply online or engage with our teams on campus at career fairs and other events. Symbotic offers an extensive calendar of events including Lunch and Learns, Social Outings, and Volunteer opportunities for our Interns and Co-ops to engage in.
The Summer Intern session is a 12-week,full-time (40 hours Monday-Friday) program while the Co-op cohorts typically run 16-weeks in the Spring and Fall. In both programs, students are paid a competitive hourly rate. Continue reading to learn more about this exciting opportunity!
What you'll do
- Write and optimize SQL queries to manage and manipulate data within the Snowflake database.
- Use Python to flatten and transform database data for downstream processing.
- Create and maintain data visualizations and dashboards in Qlik Sense and Tableau.
- Collaborate with team members to manage code through GitLab, including pushing and pulling code for version control.
- Support data analysis projects and provide insights from the data.
- Document processes, workflows, and key insights.
What you'll need
- Familiarity with SQL, preferably with experience in Snowflake.
- Basic knowledge of Python, with a focus on data manipulation.
- Experience or interest in data visualization tools like Qlik Sense, Tableau.
- Understanding of GitLab for version control and collaboration.
Our Environment
- Up to 10% of travel may be required. Employees must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations.
- The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.
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