IAM Analyst / Data Analyst

IAM Analyst / Data Analyst

Exaways Corporation

Westlake, TX • On-site

$65/hr

Other

This job posting has expired and is no longer accepting applications. Check out similar jobs


Job description

Job Title: Identity and Access Management Analyst
Location: Westlake, TX (Onsite)
Job Type: 6+ Months
Client: Fidelity Investments
Visa Status: USC/GC/H4-EAD/L2S/GC-EAD (Only W-2)
H1B: Transfer acceptable and they would ready to work as a Mindteck W-2 employee
CANDIDATE PROFILE
Client is looking for Data Analyst profile who has background of IAM/PAM.

RATE INFO:
W-2 Rate: $65hr on W-2 without benefits
H1B Transfer: $120000/year on full time without benefits
POSITION SUMMARY
We are seeking a thorough and proactive IAM/PAM Analyst to support the Workforce Access Management (WAM) project. The ideal candidate will have 2-5 years of experience identifying and addressing control gaps within Identity and Access Management and Privileged Access Management frameworks. As a valued team member, you will help ensure secure and compliant access across enterprise systems, with a solid focus on authentication, authorization, and privileged access controls.
KEY RESPONSIBILITIES:
  • Serve as a contributor to the WAM project, supporting implementation, and ongoing governance of access controls.
  • Evaluate and monitor IAM and PAM controls to ensure compliance with internal policies, regulatory requirements, and industry standard processes.
  • Identify and report instances where access controls are not being adhered to, including excessive permissions, orphaned accounts, and unauthorized access.
  • Collaborate with engineering teams, Enterprise Cyber Security, and Audit teams to investigate control violations and recommend corrective actions.
  • Support periodic access reviews, certification campaigns, and privileged account audits.
  • Assist in the development and refinement of IAM/PAM policies, procedures, and standards.
  • Use tools such as SailPoint, CyberArk, Azure AD, or similar platforms to analyze access patterns and detect anomalies.
  • Document findings and create reports for leadership and compliance teams.
  • Assess and support authentication and authorization mechanisms across enterprise network infrastructure.
  • Supporting closely related areas with Data Analytics.
Qualifications:
  • Bachelor's degree in Information Security, Computer Science, or related field preferred.
  • 2-5 years of hands-on experience in IAM and/or PAM, with a focus on control adherence and compliance.
  • Experience supporting enterprise-level authentication and authorization infrastructure.
  • Working knowledge of Cisco Identity Services Engine (Client) in an enterprise environment.
  • Familiarity with regulatory frameworks such as SOX, HIPAA, ISO 27001, or NIST.
  • Experience with IAM/PAM tools (e.g., SailPoint, CyberArk, Okta, Azure AD).
  • Strong analytical and problem-solving skills.
  • Excellent communication and documentation abilities.
Preferred Skills:
  • Experience with scripting or automation (e.g., PowerShell, Python).
  • Snowflake and analytics visualization experience with Tableau/PowerBI.
  • Understanding of Zero Trust principles and least privilege access models.
  • Certifications such as CISSP, CISM, or vendor-specific IAM/PAM certifications.



Frequently asked questions

Q: What skills or qualities help someone succeed as a Data Analyst?

A: To succeed as a Data Analyst, key technical skills include proficiency in programming languages such as Python or R, expertise in data visualization tools like Tableau or Power BI, and knowledge of statistical analysis and machine learning concepts. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are crucial for presenting insights to stakeholders and working with cross-functional teams. By combining these technical and soft skills, Data Analysts can drive business decisions, identify areas for improvement, and contribute to the growth and success of their organization.

Q: What is the career path for a Data Analyst?

A: A Data Analyst's typical career progression involves starting as an Entry-Level Data Analyst, where they collect, analyze, and interpret data to inform business decisions. As they gain experience, they can move into Mid-Level roles such as Senior Data Analyst or Business Analyst, where they take on more complex projects and lead smaller teams. Ultimately, they can advance to Senior Leadership positions like Data Scientist, Data Manager, or even Director of Analytics, where they oversee large-scale data initiatives and drive strategic business growth.\n\nKey opportunities for skill development and professional growth in this role include learning programming languages like Python or R, mastering data visualization tools like Tableau or Power BI, and staying up-to-date with emerging trends in machine learning and artificial intelligence. Additionally, Data Analysts can develop soft skills like communication, project management, and leadership to excel in their roles.\n\nLong-term career prospects for Data Analysts are diverse, with potential directions including transitioning into related fields like Business Intelligence, Data Engineering, or even becoming a Product Manager, or pursuing advanced degrees in Data Science or related fields to further specialize in areas like machine learning or data engineering.