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Sr Data Analyst

Spectraforce
Chicago, IL, United States
15 days ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
leoforce.us

Tech stack

Amazon Web Services Amazon S3 Cloud Database Data Retrieval Linux Python (Programming Language) Power BI Shell Script SQL Databases Tableau (Software) Jupyter Notebook Data Processing
+4 more
Snowflake Pyspark Tools for Reporting Databricks

Requirements

Python/PySpark: Experience using Databricks or Jupyter Notebooks. SQL: Experienced in data manipulation and data retrieval. AWS: Experience with S3 for data consumption. Snowflake: Hands-on experience with cloud data warehousing. Linux/Unix: Comfort with the basics of shell scripting to navigate and automate. Dashboarding: Experience with any visual reporting tool (Tableau, Power BI, QuickSight, etc.).

Additional Considerations Prior Client Experience: This is a plus; knowing the internal ecosystem and tools saves a ton of ramp-up time. Proactive Learner: I need someone who doesn’t wait for a manual and can pick up new tools/processes on the fly. Self-Starter: Ability to take a problem and run with it without constant hand-holding.

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