Data Analyst
Job ID : 37352
Job Title : Data Analyst
Location : Chicago Ridge, IL
Comapny Name : Apollose
Job Type : Full-Time, Part-Time, Contract, Training
Industry : Information Technology
Salary : $31000 - $44000 per year
Work Authorization : ["OPT","CPT","Entry Level","F1","H4","L1","H1 Visa","TN Permit Holder","Green Card Holder","Canadian Citizen","All EAD","US Citizen"]
No. of Positions : I have ongoing need to fill this role
Posted on : 08-09-2024
Required Skills : Data visualization, Presentation skills, Machine learning.
Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance
Job Description :
Responsibilities:
- Deliver custom reports to multiple business units using industry best practices for collections of requirements to release in production. An exceptional understanding of SQL Server Reporting Services is a plus.
- Build Extract Transform Load functions to deliver needed exports to integrated systems or other business applications. An exceptional understanding of SQL Server Integration Services is a plus.
- Build, maintain, and utilize datasets to be shared with Data Analysts and Business Analysts to deliver metrics and KPIs.
- Develop, maintain, and update SQL Server stored procedures, views, SSIS packages, and SSRS reports.
- Design and develop visualizations to deliver customer requirements to dashboarding tools.
- Identify opportunities to make improvements and implement solutions.
- Troubleshooting data issues, validating result sets, performing unit testing.
- Help write and optimize in-application SQL statements.
- Experience working in an agile development environment.
- A strong appreciation for standards and consistency in design and coding practices.
- Assist in after-hour activities as needed.
- Perform additional duties as the Senior Director of Enterprise Applications and Software may assign.
- Maintain an acceptable attendance record, be punctual, and meet deadlines.
- Seek training to enhance and learn new skills.
Key Skills:
- Structured Query Language.
- Microsoft Excel.
- Critical thinking.
- R or Python statistical programming.
- Data visualization.
- Presentation skills.
- Machine learning.
Company Details :
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