Net2Source (N2S)

Net2Source (N2S)

Data Analytics Engineer

Woodcliff Lake, New Jersey, USContractor$100 - $128/HOUR2 days agovia LinkedIn

Salary

$100 - $128/HOUR

Job type

Contractor

Location

Woodcliff Lake, New Jersey, US

Remote

No

Posted

2 days ago

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Job description

ONLY W2 Candidates

Job Title: Lead Data Analytics Engineer

Location: Woodcliff Lake, NJ 07677-7703 (Hybrid)

Duration: 6 Months

Shift: Mon – Fri 8:30 AM – 4:30 PM

Hybrid. 3 days onsite and 2 days remote.

Education Requirement

Bachelor's or Master's degree in a Relevant Field, such as: Data Science/Business Analytics/Information Systems/Computer Science

Job Description

WHAT AWAITS YOU.

  • Analyzing and understanding existing reports and data models in Qlik Sense
  • Designing and developing equivalent reports and data models in Amazon QuickSight
  • Ensuring data accuracy and consistency during the report migration process
  • Optimizing the new reports for performance and usability on the QuickSight platform
  • Testing and validating the migrated reports against the original Qlik Sense versions
  • Documenting the migration process and providing training/support to end-users
  • Collaborating with data engineers, analysts, and business stakeholders throughout the migration project

WHAT YOU SHOULD BRING.

  • Bachelor's or Master's degree in a Relevant Field
  • 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 Quicksight and SQL.
  • 1+ years of experience with Qlik Sense.

Top 3 'must have' technologies/skills?

  • 3+ year 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

Top 3 'nice to have' technologies/skills?

  • 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

Soft skills preferences: Ex: Excellent communication skills, Attention to Detail, etc.

  • Communication and Collaboration
  • Analytical and Problem-Solving Skills
  • Creativity and innovative thinking

Are there any specific companies/industries that the ideal candidate would have experience with?

Automotive Industry

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.

Responsibilities

  • Shift: Mon – Fri 8:30 AM – 4:30 PM
  • Hybrid. 3 days onsite and 2 days remote
  • Analyzing and understanding existing reports and data models in Qlik Sense
  • Designing and developing equivalent reports and data models in Amazon QuickSight
  • Ensuring data accuracy and consistency during the report migration process
  • Optimizing the new reports for performance and usability on the QuickSight platform
  • Testing and validating the migrated reports against the original Qlik Sense versions
  • Documenting the migration process and providing training/support to end-users
  • Collaborating with data engineers, analysts, and business stakeholders throughout the migration project
  • 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

Qualifications

  • Bachelor's or Master's degree in a Relevant Field, such as: Data Science/Business Analytics/Information Systems/Computer Science
  • Bachelor's or Master's degree in a Relevant Field
  • 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 Quicksight and SQL
  • 1+ years of experience with Qlik Sense
  • 3+ year 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 business stakeholders to understand needs and define analytic requirements
  • Experience with data warehousing concepts and ETL processes
  • Cloud Computing and AWS Experience
  • Soft skills preferences: Ex: Excellent communication skills, Attention to Detail, etc
  • Communication and Collaboration
  • Analytical and Problem-Solving Skills
  • Creativity and innovative thinking
  • Are there any specific companies/industries that the ideal candidate would have experience with?

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