Data Analyst

Job Title: Data Analyst
Location: Phoenix, AZ (Hybrid)
Duration: 12 Months

Job Summary

We are seeking a skilled Data Analyst to partner with data engineers, security teams, and business stakeholders to deliver scalable data and reporting solutions. The ideal candidate will work with diverse datasets—including threat, vulnerability, and operational telemetry—to develop meaningful metrics, support reporting, and generate actionable insights.

This role involves contributing to both batch and near real-time data pipelines while ensuring data quality, consistency, and usability across platforms.

Key Responsibilities

• Collaborate with data engineers, security teams, and stakeholders to design and deliver data-driven solutions
• Analyze large and complex datasets to produce actionable insights, operational metrics, and reports
• Work with security-related datasets such as threat intelligence, vulnerability data, access logs, and incident data
• Contribute to batch and near real-time data pipelines for reporting and analytics
• Identify data gaps, inconsistencies, and anomalies, and recommend improvements
• Integrate and transform data from multiple sources using joins, views, and stored procedures
• Build and maintain dashboards and reports using BI tools
• Ensure data quality, integrity, and performance optimization across systems
• Translate business requirements into technical data solutions

Required Skills & Qualifications

• 5–8 years of experience as a Data Analyst or SQL Analyst
• Strong hands-on expertise in MS SQL (querying, data manipulation, performance tuning)
• Proven ability to work with moderately large and complex datasets
• Strong understanding of data modeling, data integration, and transformation techniques
• Experience with BI tools such as Qlik, Tableau, Power BI, or SSRS
• Ability to identify and resolve data inconsistencies and anomalies
• Strong analytical, problem-solving, and communication skills
• Ability to collaborate effectively across technical and business teams

Preferred Qualifications

• Familiarity with security datasets (threat intelligence, vulnerability data, access logs, incident data)
• Understanding of how data supports security operations
• Exposure to near real-time or streaming data pipelines
• Familiarity with emerging technologies such as agentic AI or experience building data agents
• Ability to quickly learn and adapt to new tools and technologies