

Vertisystem
Lead Data Analytics Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Analytics Engineer with a 10+ month contract, paying $100-$128 per hour. Located in a hybrid model in Woodcliff Lake, NJ, it requires 6+ years of experience, including 3+ years in Amazon QuickSight, SQL, and Qlik Sense.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
1024
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🗓️ - Date
March 27, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Woodcliff Lake, NJ
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🧠 - Skills detailed
#Visualization #Data Accuracy #Data Engineering #Migration #Data Manipulation #Qlik #SQL (Structured Query Language) #AWS (Amazon Web Services) #"ETL (Extract #Transform #Load)" #Cloud #Amazon QuickSight
Role description
Job Title: Lead Data Analytics Engineer- Amazon QuickSight & Qlik Sense
Location: Hybrid Role- Woodcliff Lake, NJ 07677
Duration: 10+ Months Contract with Possible Extension
Pay Range: $100-$128 Per Hour on W2
Please note - No 3rd parties only W2.
Job Overview:
WHAT YOU SHOULD BRING.
- Bachelor’s or Master’s degree in a Relevant Field
- 6+ years of progressively increasing professional experience in
Required Experience- 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+ 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
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
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
Job Title: Lead Data Analytics Engineer- Amazon QuickSight & Qlik Sense
Location: Hybrid Role- Woodcliff Lake, NJ 07677
Duration: 10+ Months Contract with Possible Extension
Pay Range: $100-$128 Per Hour on W2
Please note - No 3rd parties only W2.
Job Overview:
WHAT YOU SHOULD BRING.
- Bachelor’s or Master’s degree in a Relevant Field
- 6+ years of progressively increasing professional experience in
Required Experience- 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+ 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
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
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






