SAS Analyst

HCL Technologies Limited; Región Centro; On-site; MXN 800,000 - 1,200,000; Full time

Benefits offered by this job

Permanent contract

Vacation days 12+2

Premium benefits

Savings fund

Insurance package

Direct Hiring

100% payroll

Job summary

HCL Technologies Limited in Mexico is seeking a Senior Operations Analyst with strong SAS and Python skills to optimize data processing, monitor production jobs, and drive operational excellence through analytics. You will work with cross-functional teams to ensure stability and performance of critical processes, and develop automation and runbooks.

Experience with GitLab and Unix environments is a plus. The role offers opportunities to collaborate with global teams, contribute to process

Qualifications

• Strong hands-on experience with SAS Programming.
• Proficiency in Python development and scripting.
• Experience with GitLab and version control best practices.
• Experience in job scheduling, monitoring, and production support environments.
• Knowledge of data analysis, automation, and troubleshooting techniques.
• Familiarity with Linux/Unix environments.

Responsibilities

• Develop, maintain, and optimize data processing solutions using SAS and Python.
• Monitor and support production jobs, ensuring timely execution and issue resolution.
• Analyze operational data and provide actionable insights to stakeholders.
• Troubleshoot batch processing, scheduling, and workflow execution issues.
• Implement automation and process improvements to increase efficiency.
• Collaborate with development, infrastructure, and business teams to support operational requirements.
• Create and maintain technical documentation, monitoring procedures, and operational runbooks.
• Participate in incident management and root cause analysis activities.
• Support deployment activities and version control processes using GitLab.

Skills

SAS Programming

Python

GitLab

Job scheduling

Data analysis

Linux/Unix

Tools

GitLab

Job description

Senior Operations Analyst - SAS & Python

About the Role

We are looking for a highly motivated Senior Operations Analyst with strong experience in SAS, Python, and job monitoring to join our growing team. This role is ideal for professionals who enjoy working with large datasets, automating processes, supporting production environments, and driving operational excellence through analytics and monitoring solutions.

You will work closely with cross-functional teams to ensure the stability, performance, and optimization of critical business processes and applications.

Key Responsibilities

• Develop, maintain, and optimize data processing solutions using SAS and Python.
• Monitor and support production jobs, ensuring timely execution and issue resolution.
• Analyze operational data and provide actionable insights to stakeholders.
• Troubleshoot batch processing, scheduling, and workflow execution issues.
• Implement automation and process improvements to increase efficiency.
• Collaborate with development, infrastructure, and business teams to support operational requirements.
• Create and maintain technical documentation, monitoring procedures, and operational runbooks.
• Participate in incident management and root cause analysis activities.
• Support deployment activities and version control processes using GitLab.

Required Qualifications

Technical Skills

• Strong hands-on experience with SAS Programming.
• Proficiency in Python development and scripting.
• Experience with GitLab and version control best practices.
• Experience in job scheduling, monitoring, and production support environments.
• Knowledge of data analysis, automation, and troubleshooting techniques.
• Familiarity with Linux/Unix environments.

Preferred Skills

• Experience with BMC TrueSight Capacity Optimization (TSCO) is highly desirable.
• Exposure to enterprise monitoring and operational support tools.
• Understanding of ETL processes and data pipelines.

What We're Looking For

• Strong analytical and problem-solving skills.
• Ability to work independently and manage multiple priorities.
• Excellent communication and stakeholder management skills.
• Detail-oriented with a continuous improvement mindset.
• Experience working in global and fast-paced environments.

Why Join Us?

Work with modern data and automation technologies

Collaborate with global teams and business stakeholders

Opportunity to drive operational excellence and innovation

Professional growth and development opportunities

Direct Hiring, 100% payroll mode.

SGMM Family premium coverage plan

Savings Fund 13% (Annual Capped $107,370) 4,473.74 monthly

Extendable Insurance, Dental, Vision & Auto

Vacation bonus 15%

Permanent contract from day one

12 days of vacation in the first year, increasing by 2 as dictated by law

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