Data Analyst - Security

About Business:

Adani Group: Adani Group is a diversified organisation in India comprising 10 publicly traded companies. It has created a world-class logistics and utility infrastructure portfolio that has a pan-India presence. Adani Group is headquartered in Ahmedabad, in the state of Gujarat, India. Over the years, Adani Group has positioned itself to be the market leader in its logistics and energy businesses focusing on large-scale infrastructure development in India with O & M practices benchmarked to global standards. With four IG-rated businesses, it is the only Infrastructure Investment Grade issuer in India.

Job Purpose: To collect, analyze, interpret, and report security-related data to enhance the operational efficiency, risk mitigation capabilities, and decision-making processes within the organization. The role involves performing vulnerability assessments, developing insights from data trends, and contributing to the continuous improvement of security systems.

JOB RESPONSIBILITIES

Data Analyst - Security

Data Management:

Collect data from primary and secondary sources, maintaining and managing securityrelated databases to ensure data accuracy and completeness.

Implement data collection systems and strategies to optimize statistical efficiency and data quality.

Ensure proper documentation of data collection and analysis processes for easy replication by stakeholders.

Data Analysis and Reporting:

Develop and execute data analysis plans, identifying patterns, correlations, and trends from securityrelated data.

Create reports and dashboards using data visualization tools like Tableau or Qlik to communicate actionable insights.

Interpret data findings in the context of organizational security, recommending datadriven improvements to senior management.

Threat and Vulnerability Assessments:

Conduct regular vulnerability testing and threat analysis, ensuring early detection and resolution of potential risks.

Analyze security breaches to identify root causes and recommend necessary countermeasures.

Contribute to updating and refining the organization’s incident response and disaster recovery plans based on analysis findings.

System Upgradation:

Identify areas of improvement in security systems through data analysis and coordinate system upgrades.

Collaborate with IT teams to implement enhanced security software, minimizing risks and improving operational efficiency.

Process Excellence:

Evaluate and refine data collection, storage, and usage processes, improving overall process maturity.

Standardize datadriven decisionmaking frameworks to support governance and operational excellence.

Key Stakeholders - Internal

Site Security Lead

IT Management Specialist

Corporate Security Team

Risk Management and Audit Teams

Key Stakeholders - External

Vendors and service providers for security software and tools

External departments for integration and support during upgrades

External auditors (for compliance and system validation)

Educational Qualification:

Bachelor’s degree in Information Technology, Computer Science, Mathematics, Statistics, or related fields.

Certification:

Proficiency in database languages such as SQL, Python, or R.

Knowledge of data visualization software (e.g., Tableau, Power BI, or Qlik).

Work Experience (Range of years):

1 year in data management, analytics, or operations, preferably in security or technology-related roles or 0.6-1 year Internship with Adani group in the related field.

Worked on interpreting data trends, perform root cause analyses, and create actionable reports.

• Utilize advanced data analysis techniques to identify trends, patterns, and correlations within complex data sets
• Develop and implement data models, algorithms, and statistical methods to analyze and interpret data
• Collaborate with cross-functional teams to understand business requirements and provide data-driven insights and recommendations
• Design and create data visualizations, dashboards, and reports to communicate findings and support decision-making processes
• Conduct thorough data validation, cleansing, and quality assurance processes to ensure accuracy and reliability of data
• Contribute to the development and optimization of data management processes and systems
• Stay updated with industry trends, best practices, and emerging technologies in data analysis and management
• Communicate complex technical findings and insights to non-technical stakeholders in a clear and understandable manner
• Adhere to data privacy and security regulations and best practices
• Participate in continuous learning and professional development activities to enhance skills and knowledge in data analysis