NJDOA Data Analyst
NJDOA Data Analyst
Posted on :
07-08-2025
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1 Vacancy
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Job Description
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 creates reports programs methodologies and files for the analysis and presentation of our organizations current and legacy data. They will review our organizations 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 implementing 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 QUALIFICATIONS:
- 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. Required/Desired Skills Skill Required /Desired Amount of Experience Proficiency in data analysis data modeling data mining and database design & optimization Required 7 Years SQL Required 7 Years Python Highly desired 5 Years SAP BusinessObjects Highly desired 5 Years JavaScript XML and/or other ETL frameworks Highly desired 5 Years Proficiency in statistics and statistical packages like Excel SPSS SAS Desired 5 Years Questions No. Question Question1 Absences greater than two weeks MUST be approved by CAI management in advance and contact information must be provided to CAI so that the resource can be reached during his or her absence. The Client has the right to dismiss the resource if he or she does not return to work by the agreed upon date. Do you agree to this requirement Question2 What is your candidates email address Question3 Where does your candidate currently reside (City & State) Question4 If your candidate resides more than 1 hour from the Client site will your candidate relocate for the position Question5 Is your candidate available for a Round 1 in-person interview Question6 Candidate will be required to complete an on-site skills assessment before being hired. Does the candidate agree to this Question7 Will start off 100% onsite & move to hybrid of 3 days onsite 2 days remote after 2 to 6 weeks. Does the candidate agree to this Question8 Do you agree to the maximum hourly Vendor Rate of NA (excluding the Efficiency Fee)
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 creates reports programs methodologies and files for the analysis and presentation of our organizations current and legacy data. They will review our organizations 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 implementing 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 QUALIFICATIONS:
- 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. Required/Desired Skills
Employment Type
Full-time
Key Skills
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