Cybersecurity Data Analyst
Job in
Jersey City, Hudson County, New Jersey, 07390, USA
Listed on 2026-05-29
Listing for:
ManpowerGroup Global, Inc.
Full Time
position Listed on 2026-05-29
Job specializations:
-
IT/Tech
Data Engineering, Data Analyst, Business Systems/ Tech Analyst
Job Description & How to Apply Below
Our client is seeking a Cybersecurity Data Analyst professional to join their dynamic team. As a Cybersecurity Data Analyst, you will be an integral part of the Cyber Data Operations team within ISDAD, supporting critical data analysis and management functions. The ideal candidate will demonstrate strong analytical skills, attention to detail, and excellent communication abilities, which will enable you to thrive in a collaborative and innovative environment.
Job Title:
Cybersecurity Data Analyst
Location:
Jersey City, NJ
Duration: 6+ months with highly possible extension/conversion
What's the Job?- Gather and organize data from internal systems, spreadsheets, and reports to ensure data integrity and accessibility.
- Analyze trends, patterns, and business performance metrics using Excel or Business Intelligence tools to support strategic decision‑making.
- Create technical requirements and scrub data from upstream source systems to maintain high‑quality data pipelines.
- Collaborate with stakeholders and data development teams to understand data sources and ensure accurate data loading into the Cyber Data Warehouse (Cyber
DW). - Support data visualization efforts using tools such as Tableau, Power BI, or Google Data Studio to communicate insights effectively.
- Experience analyzing data sources and creating technical requirements for data management projects.
- Proficiency in Excel and familiarity with BI tools like Tableau, Power BI, or Google Data Studio.
- Exposure to SQL and relational databases is a plus, along with proficiency in Python.
- Strong attention to detail with the ability to interpret data within a business context.
- Effective communication skills and the ability to work collaboratively with cross‑functional teams.
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