> Markdown version of [/jobs/ext/4380474-sr-quality-engineering-data-analyst](https://www.wearedevelopers.com/jobs/ext/4380474-sr-quality-engineering-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Sr. Quality Engineering Data Analyst

- **Company:** Zt Group Int'l, Inc.
- **Location:** Secaucus, NJ, United States
- **Experience:** Expert
- **Salary:** $115,835.0 - $126,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Microsoft Outlook, Data Mining, Data Profiling, Python (Programming Language), Microsoft Office, Power BI, SQL Databases, SQL Server Reporting Services, SQL Server Integration Services, Tableau (Software), Transact-SQL, Scripting, Data Analytics, Data Management, SQL Server Management Studio (SSMS)
- **Published:** October 31, 2026
- **Apply:** https://www.juju.com/job/1_A7AD302D42214FB1BAD011D25F229DC7

## About the Role

### Experience Required 2 years of experience as a Data Analyst or related role. ### Minimum Education Required Bachelor's degree in Business Administration, Data Analytics, Engineering, Mathematics, or related field. ### Compensation $115,835.00 - $126,000.00 / Yearly ### Hours Per Week 40 ### Number Of Positions 1 ### Job Description ZT Group Int'l Inc. dba ZT Systems seeks a Sr., This role requires a Bachelor's degree in Business Administration, Data Analytics, Engineering, Mathematics, or related field, plus 2 years of experience as a Data Analyst or related role.
Requires 2 years of experience with the following skills: * Basic scripting tools including R, and Python. * SQL 2014 including SSIS, SSMS, SSRS, and T-SQL. * Data Quality Measures involved in Data profiling, such as reviewing or scripts to check for missing data, misalignment of data formats, and unexpected values. * Mining data and analyzing it to draw meaningful conclusions while relating these observations and analysis to business impact and processes/performance, such as by observing trends, statistically significant shifts, new values, and most common values. * Business Intelligence tools including Tableau, Power BI, and Excel. * Development and maintenance of reports and scorecards for reporting quality metrics and KPIs, for both internal use and for customer use. * Data query writing and analysis and report generation for business-related data. * MS Office applications including Outlook.
In lieu of a Bachelor's degree in Business Administration, Data Analytics, Engineering, Mathematics, or related field, plus 2 years of experience as a Data Analyst or related role, the employer will accept a Master's degree in Business Administration, Data Analytics, Engineering, Mathematics, or related field, plus any amount of experience as a Data Analyst or related role.
Require any amount of experience or knowledge with the following skills: * Basic scripting tools including R, and Python. * SQL 2014 including SSIS, SSMS, SSRS, and T-SQL. * Data Quality Measures involved in Data profiling, such as reviewing or scripts to check for missing data, misalignment of data formats, and unexpected values. * Mining data and analyzing it to draw meaningful conclusions while relating these observations and analysis to business impact and processes/performance, such as by observing trends, statistically significant shifts, new values, and most common values. * Business Intelligence tools including Tableau, Power BI, and Excel. * Development and maintenance of reports and scorecards for reporting quality metrics and KPIs, for both internal use and for customer use. * Data query writing and analysis and report generation for business-related data. * MS Office applications including Outlook.

## Description

Quality Engineering Data Analyst in Secaucus, NJ. Duties: Provide technical proficiency and capability in internal team in Quality and business related data management and analytics.
Work with business teams to understand their data analytics and reporting needs, including identifying critical metrics and KPIs.
Develop reports and scorecards for multiple departments.
Use analytical and problem-solving skills to provide information and actionable insights to the Quality team and other functions to include data provided to external suppliers or customers.
Develop interactive visualizations integrating various reporting components from multiple data sources and calculation results.
Use data query technologies to pull data from different back-end systems and produce meaningful information and visualizations.
Create simple or complex frameworks to provide both simple and complex data gathering, summary, reporting and analysis.
Work directly with users and management to gather requirements, provide status updates, and by building good business relationships and rapport.