Cognos Analytics ETL and Python Developer
Yoh, A Day & Zimmermann Company
Job Description
Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.
Responsibilities
- Maintain and enhance the Data Protection Business Intelligence tool
- Develop and maintain advanced reporting, analytics, dashboards, and other BI solutions using Cognos Analytics
- Design, implement, and automate ETL processes with source data coming from DBs (SQL and Oracle), CSV files, and Splunk to enhance the data warehouse's reliability and efficiency
- Integrate new data feeds into the DPBI tool, ensuring seamless data flow and enhanced reporting capabilities
- Utilize Python for data analysis, modeling, automation tasks, and integration activities to support data-driven decision-making across the organization
- Write and maintain scripts in Python and PowerShell to automate data processing, workflow tasks, and support data protection related control enhancements
- Collaborate with cross-functional teams to understand data needs, gather requirements, and deliver scalable data solutions
- Ensure data accuracy and integrity by implementing quality controls and validation processes
- Stay up-to-date with the latest technologies and methodologies in data science, machine learning, analytics, and data protection
- Contribute to the development of best practices for data management, data governance, analytics, and data protection within the organization
Requirements
- Platforms: Windows environment, Exchange, Office365
- Experience with data analytics technologies as well as analytical and dimensional modeling
- Experience with Business Intelligence
- Experience with Power Automate
- Experience with Cognos Analytics
- Experience in coding/scripting with Python and Powershell
- Experience with Splunk
- Experience with SQL
Contact Information
- Renu Goel
- Phone: 857-207-2676
- Email: [email protected]
Work arrangement
Key skills
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