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# Data Analyst (Python, Oracle, Postgres, Tableau)

- **Company:** Trigyn Technologies
- **Location:** Albany, NY, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Business Analytics Applications, Unit Testing, Big Data, Cloud Engineering, Information Engineering, Extract Transform Load (ETL), Data Visualization, Amazon DynamoDB, Python (Programming Language), PostgreSQL, MongoDB, NoSQL, Oracle (Applications), Tableau (Software), Data Processing, Information Technology, Data Analytics, Data Management, Serverless Computing
- **Published:** November 1, 2026
- **Apply:** https://www.dice.com/job-detail/2b58c6cc-2756-453c-9098-1d15bbe8197d

## About the Role

? This position requires at least a bachelor?s degree in data engineering, Computer Science, MIS or equivalent from an accredited institution.
? 6 years? experience with development in medium to large-scale technical projects and assuring deliverables and project scope are met and well documented
? 6 years? experience with data analytics including processing, reporting, transformation, visualization.

Preferred Qualifications:
? 6 years? experience with Python based data analytics projects
? 6 years? experience with relational and NoSQL databases (like Oracle, Postgres, MongoDB, DynamoDB, etc.) containing large amounts of data (greater than 10 million rows
? 6 years? experience with developing and maintaining data processing and ETL pipelines
? 6 years? experience with developing cloud native and hybrid applications using serverless platforms
? 6 years? experience in designing and implementing data visualizations with large datasets (1 million+ records) on analytics platforms such as Tableau.

## Description

Trigyn's direct government client has an immediate need for Data Analyst in Menands, NY., The consultant will perform data management and analytic tasks including researching and documenting technical designs, programming solutions, writing and executing unit test plans, researching, resolving, and testing defects, customer technical support, and close collaboration with other team members.