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Cyber Data Analyst; Data Operations & Data Quality

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Zohorecruit
Full Time position
Listed on 2026-10-10
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 80000 - 110000 USD Yearly USD 80000.00 110000.00 YEAR
Job Description & How to Apply Below
Cyber Data Analyst (Data Operations & Data Quality)

Charlotte, United States | Posted on 10/05/2026

Axiom Path is an AI-first recruiting and staffing firm delivering RPO, MSP, and direct-hire solutions to enterprise clients across the U.S. Our team of experienced recruiters, supported by purpose-built automation, moves faster and communicates better so clients get qualified talent sooner and candidates get a clear, responsive process from first contact to start date.

Job Description

Senior Data Analyst - Cyber Data Operations

Join a dynamic team that focuses on supporting cyber data operations within a forward-thinking organization. The team is known for its meticulous attention to detail and successful implementation of data-driven strategies that drive business growth and performance.

What's In Store For You

This role offers the opportunity to collaborate with diverse teams and engage with cutting-edge technologies, fostering growth in a supportive and innovative environment.

How You Will Make An Impact

  • Gather and organize data from a variety of internal systems, spreadsheets, and reports.
  • Analyze trends, patterns, and business performance using Excel or advanced BI tools.
  • Collaborate with stakeholders to understand data sources loaded into CyberDW.
  • Document technical requirements for data projects and ensure data integrity.
  • Work alongside data development teams to streamline data operations.
Requirements
  • Experience with data collection and organization from multiple internal systems.
  • Proficiency in Excel and exposure to BI tools for trend and pattern analysis.
  • Basic understanding of SQL and relational databases is advantageous.
  • Proficiency in Python is desirable.
  • Familiarity with data visualization tools, including Tableau, Power BI, or Google Data Studio.
  • Strong attention to detail and the ability to interpret data in a business context.
  • Effective communication skills with the ability to work seamlessly with cross-functional teams.
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