Principal Software Engineer at General Motors responsible for Body Controls safety and regulatory compliance. Leading software development in Occupant Protection, Comfort, and Security domains.
SF
Hybrid Associate Systems Analyst
Posted 4 months ago
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
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