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Data Management Specialist

22nd Century Technologies, Inc.
$34.04/Hour. without benefits
United States, New Jersey, Hamilton
Jan 30, 2025
Job Title: Data Management Specialist

Location: Hamilton, NJ 08619

Pay Rate: $34.04/Hour. without benefits

Duration: 09+ months

Work Hours : 8:30 AM to 4:30 PM or 9:00 AM to 5:00 PM

Job Description:

  • Formulate and manage data requests internally.
  • Conduct analyses of data pulled from NJ's system of record for WIOA.
  • Draft data deliverables, including snapshots, dashboards, and analyses for policy reports and briefs, to disseminate internally within Client and to local areas.
  • Support the use of data to inform policy and practice development at Client and within local areas.
  • Assist in the creation and development of dashboards, utilizing Power BI, Tableau, Excel Pivot Tables, and/or other similar tools.
  • Develop additional technical assistance resources, as needed.
  • Create visualizations from large data sets.
  • Job responsibilities in Brief Policy, planning, and program support.
  • Relevant work experience: 3 years.


Knowledge, skills, education, and/or experience:

  • Experience with data analysis and data presentation a plus; Strong project management, analytical, problem solving, strategic, and organizational skills;
  • Ability to create, analyze, and organize data sets; Beginning to intermediate programming skills to extract data from large data sets;
  • Excellent written and oral communication skills, especially on virtual interfaces; Ability to coordinate and be accountable for multiple tasks simultaneously and independently; Ability to work in fast-paced environment; Strong attention to detail;
  • Enjoys collaborating with teams; Commitment to diversity, equity, and inclusion; Maturity, professionalism and poise; Open to feedback and professional development;
  • Excellent skills in Microsoft Office Suite (Excel, Word, and PowerPoint).


Education:

  • Graduation from an accredited college or university with a bachelor's degree.


Experience:

  • Additional education and/or work experience in the areas of Data Analysis, Information Systems, Data Policy, or related fields is helpful.


Interview Mode: MS Teams
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