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Data Analyst at it , Inc Trenton, NJ

Job in Trenton, Mercer County, New Jersey, 08628, USA
Listing for: Itlearn360
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Database Administrator, Data Warehousing
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Data Analyst at Hire it People, Inc Trenton, NJ

Data Analyst job at Hire it People, Inc. Trenton, NJ.

Job Seekers, Please send resumes to

Job Details
  • Client is looking to hire a seasoned data analyst who can quickly learn our business requirements and help assess our data systems and programs to improve our reporting and other data capabilities.
  • This Data Analyst will be expected to assess complex data systems and programs in support of ad-hoc and standing management or customer requests.
  • This individual will create reports, programs, methodologies, and files for the analysis and presentation of our organization's current and legacy data.
  • They will review our organization's current and legacy data to evaluate data quality and opportunities for improvement.
  • This resource will research new data sources and analytical tools, such as those available in third‑party platforms such as AWS.
  • This individual will contribute to new application and report development, as well as implement improvements in product delivery and presentation, through the use of database applications and analytical tools.
  • This person will engage our internal customers in their data collection efforts and seek their feedback on any modifications and improvements they intend to implement.
Preferred Qualification
  • Strong mathematical skills to help collect, measure, organize, and analyze data.
  • Knowledge of programming languages like SQL, Python, and JavaScript.
  • Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
  • Experience in handling reporting packages like Business Objects and/or programming (JavaScript, XML, or ETL frameworks) databases.
  • Proficiency in statistics and statistical packages like Excel, SPSS, SAS to be used for data set analyzing.
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