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# Lead Data Analytics Engineer

- **Company:** American CyberSystems
- **Location:** Woodcliff Lake, NJ, United States
- **Experience:** Expert
- **Salary:** $215,238.0 - $267,883.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Cloud Computing, Information Systems, Data Files, Extract Transform Load (ETL), Data Warehousing, SQL Databases, Qliksense, Information Technology, Data Analytics
- **Published:** September 3, 2026
- **Apply:** https://public-rest34.bullhornstaffing.com/rest-services/2WXP1S/query/JobBoardPost?where=id=1000483&fields=id,title,publishedCategory(id,name),address(city,state),employmentType,dateLastPublished,publicDescription,isOpen,isPublic,isDeleted

## About the Role

* Bachelor's or master's degree in a Relevant Field such as: Data Science, Business Analytics, Information Systems, Computer Science.
 * 3+ years of experience with Amazon QuickSight for creating data sets, dashboards and visualizations.
 * 3+ years of experience in SQL data manipulation and analysis
 * 1+ years of experience with Qlik Sense for creating data sets, dashboards and visualizations

Preferred Qualifications

 * Experience working closely with business stakeholders to understand needs and define analytic requirements
 * Experience with data warehousing concepts and ETL processes
 * Cloud Computing and AWS Experience.
 * Automotive Industry.

## Description

* Provide strategic oversight and technical leadership for the migration of data analytics assets from Qlik Sense to Amazon Quick Sight
 * Strategically analyze and deeply understand existing reports and data models in Qlik Sense
 * Lead the design and development of equivalent reports and data models in Amazon Quick Sight.
 * Ensure data accuracy and consistency during the report migration process
 * Optimize the new reports for performance and usability on the Quick Sight platform
 * Oversee the testing and validation of migrated reports against the original Qlik Sense versions
 * Document the migration process comprehensively and provide expert training/support to end-users
 * Collaborate effectively with data engineers, analysts, and business stakeholders to drive a successful migration project
 * Identify opportunities for process improvements and innovative solutions to enhance the overall data analytics capabilities.


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