Hybrid Associate Systems Analyst

at skillventory - A Leading Talent Research Firm

• Job title: Associate Systems Analyst
• Job type: Full Time
• Experience level: Junior, Mid level
• Salary: $55,000 - $112,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Cyber Security, Python, SQL, Tableau
• Location requirements: Hybrid, Smithfield, United States

About the role

• Business Analyst role in Identity & Access Management supporting program execution for cybersecurity. Focused on data analysis, risk management, and process automation in a cross-functional team environment.

Responsibilities

• responsible for bridging the gap between business needs and technical solutions
• work closely with cross-functional teams, including businesses, security, compliance, and product management, to analyze complex data sets, identify trends, and translate business requirements into actionable insights.
• directly support program execution decision-making and help us improve our strategic program execution efficiency and security posture.
• provide clear, data-driven insights that support key business decisions, improve processes, and enhance our security posture.
• develop and maintain predictive models to help the organization proactively identify and mitigate compliance and security risks.
• contribute to operational efficiency by automating manual processes using scripting languages like Python.

Requirements

• Proficiency in data analysis and visualization tools: You should be highly skilled in Python, SQL, and Tableau or PowerBI to analyze complex datasets, create predictive models/patterns, and visualize findings.
• Experience in cybersecurity and IT operations: Knowledge of Identity & Access Management (IAM), log analysis, and datamining and monitoring are essential.
• Familiarity with tools like SailPoint is a plus.
• Strong analytical capabilities: You have a proven ability to sift through unstructured data, logs, and alerts, clean and organize them, and transform overlooked details into meaningful insights.
• Experience with predictive modeling/pattern recognition: You have developed and applied predictive risk models, preferably using machine learning techniques, to forecast trends or patterns and identify potential issues.
• Excellent communication and collaboration skills: You can clearly articulate technical findings to both technical and non-technical audiences through reports and dashboards.

Benefits

• comprehensive health care coverage and emotional well-being support
• market-leading retirement
• generous paid time off and parental leave
• charitable giving employee match program
• educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career