Lead Data Analyst (Amazon QuickSight, Qlik Sense) | W2 Contract | NO Relocation | 12 Years +

Job Description Below:- Title: Lead Data Analytics Engineer Location:- Hybrid - Woodcliff Lake, NJ Job Description: Qualifications • Bachelor’s or Master’s degree in a Relevant Field such as Data Science, Business Analytics, Information Systems, Computer Science • 6+ years of progressively increasing professional experience in Data Analytics, with at least 3+ years in a senior-level role • 3+ years’ experience in Amazon QuickSight and SQL. • 1+ years of experience with Qlik Sense. • 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+ year of experience with Qlik Sense for creating data sets, dashboards, and visualizations • Experience working closely with stakeholders to understand needs and define analytic requirements • Experience with data warehousing concepts and ETL processes • Cloud Computing and AWS Experience • Excellent Communication and Collaboration, Analytical and Problem-Solving Skills • Creativity and innovative thinking -A credit check is required as a pre-employment screening Responsibilities • Provide strategic oversight and technical leadership for the migration of data analytics assets from Qlik Sense to Amazon QuickSight • 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 QuickSight. • 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.