Data Analyst – IT

Job Summary

Regal Technology Partners Inc is seeking a Data Analyst – IT to join its Engineering department in Santa Ana, Orange County, US. This full‑time exempt role focuses on gathering, analyzing, and interpreting data to enhance IT operations and drive business decisions.

Key Responsibilities

• Collect, clean, and validate data from multiple IT systems and databases.
• Analyze system performance metrics, identify trends, and recommend improvements.
• Develop dashboards, reports, and visualizations for technical and non‑technical stakeholders.
• Collaborate with IT, development, and business teams to define data requirements and support project initiatives.
• Perform root‑cause analysis of incidents and provide actionable insights.
• Maintain data documentation, data dictionaries, and standard operating procedures.
• Ensure data governance, security, and compliance with company policies.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Statistics, or related field.
• 2+ years of experience in data analysis, preferably within an IT or engineering environment.
• Proficiency with SQL, Excel, and data‑visualization tools (e.g., Power BI, Tableau).
• Strong analytical thinking, problem‑solving skills, and attention to detail.
• Excellent communication skills to convey complex findings to diverse audiences.

Compensation

Salary: $74,687.95 per year (fixed). Benefits include health insurance, 401(k) match, paid time off, and professional development opportunities.

Frequently Asked Questions

What type of data will the Data Analyst work with?

You will handle IT operational data, system performance metrics, incident logs, and business‑critical datasets to generate insights and reports.

Is remote work available for this role?

The position is based in Santa Ana, Orange County and requires on‑site presence; remote work is not listed as an option.

What tools are essential for success in this job?

Proficiency in SQL, Excel, and a data‑visualization platform such as Power BI or Tableau is essential.