Lead Data Analytics Engineer (Qlik Sense, AWS, ETL)

Overview

On Site
$102 - $117
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

Data analytics
Amazon Quick Sight
Qlik Sense
Creating dashboards
Creating visualizations
AWS
ETL

Job Details

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 and
3+ years experience in Amazon Quick Sight and SQL.
1+ years of experience with Qlik Sense.
3+ year of experience with Amazon Quick Sight 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 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.

We are an equal opportunity employer. It is our policy to provide employment, compensation, and other benefits related to employment without regard to race, color, religion, sex, gender, national or ethnic origin, disability, veteran status, age, genetic information, citizenship, or any other basis prohibited by applicable federal, state, or local law.

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