HKA Enterprises

Lead Data Analytics Engineer : 197084

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Analytics Engineer in Woodcliff Lake, NJ, with a contract ending January 31, 2027. Pay ranges from $103.48 to $128.79 per hour. Requires 6+ years of data analytics experience, including Amazon Quick Sight and SQL.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
1024
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πŸ—“οΈ - Date
March 27, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Woodcliff Lake, NJ
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🧠 - Skills detailed
#Visualization #Data Accuracy #Data Engineering #Data Science #Data Manipulation #Migration #Computer Science #Qlik #AWS (Amazon Web Services) #"ETL (Extract #Transform #Load)" #Leadership #Cloud #SQL (Structured Query Language)
Role description
ALL 3RD PARTY RECRUITER SUBMITTALS, CORP TO CORP CANDIDATES, AND 1099 CANDIDATES WILL BE DELETED. Contract Assignment: End Date January 31, 2027 No Corp to Corp or 3rd party recruiter submittals will be accepted. No 1099 accepted. This is a W2 contract through HKA Enterprises at one of our client's sites in Woodcliff Lake, NJ. Client Title: Lead Data Analytics Engineer PAY: 103.48 /hr - USD 128.79 /hr 1st Shift Shift Schedule: 8:30 AM until 4:30 PM – Monday-Friday with 30 minute lunch Hybrid 3 days onsite and 2 days remote. Contract: END DATE: January 31, 2027 Holiday Pay: 11 Holidays are observed. You will receive 8 hours of straight time pay for the observed holiday. PTO (Personal Time Off): Awarded 1 personal time off day (8 hours) a month on the 1st of each month. OVERVIEW OF POSITION: Education Bachelor’s or Master’s degree in a Relevant Field such as: Data Science, Business Analytics, Information Systems, Computer Science Work Experience: 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 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 Primary 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. HKA Enterprises is a global workforce solutions firm. If you are seeking a new career opportunity or project experience, our recruiters will work to understand your qualifications, experience, and personal goals. At HKA, we recognize the importance of matching employee goals with those of the employer. We strive to seek credibility, satisfaction, and endorsement from all our applicants. We invite you to take time and search for your next career experience with us! HKA is an EEO Employer who participates in the US Citizenship and Immigration Services E-Verify Program. #LI-SJ1