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Axiom Path

Cyber Data Analyst (Data Operations & Data Quality)

Axiom Path Charlotte, North Carolina, United States

IT Services and IT Consulting · 51-200 employees

Oct 05
data-analyst Mid (2-5 yrs) Contractor United States
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About the role

The Cyber Data Analyst will gather and organize data from various internal systems while ensuring data integrity within the CyberDW. They will also collaborate with stakeholders and data development teams to analyze trends and streamline data operations.

What they look for

Data Analysis Data Operations Data Quality Excel BI Tools SQL Python Tableau Power BI Google Data Studio Data Visualization Data Integrity Technical Documentation Trend Analysis Pattern Analysis Cross-functional Collaboration

Requirements

Candidates should have experience in data collection and organization, along with proficiency in Excel and BI tools. A basic understanding of SQL and familiarity with data visualization software are also required for this role.

Full 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

Are you a proven data operations professional?

  • 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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