Product Support Job Buckeye area,Arizona USA,IT/Tech

Ensure the stability and continuous operation of the live test production environment
Resolve incidents and troubleshoot production issues
Monitor system health
Manage passwords
Perform root cause analysis to prevent recurring issues
Develop models, analytical tools, and testing scripts providing actionable insights into operational health
Work with process owners to understand data, process flows, and controls
Identify risks and design effective testing and monitoring
Create methodologies to evaluate process and control effectiveness and compliance
Partner with process and data owners, risk managers, GCOR, and EIT operational, data sourcing, and technology infrastructure teams
Use methodology outputs, analytical tools, and testing scripts to drive process improvements and detect and report errors
Explain rationale, methodology details, and results to senior stakeholders, auditors, and regulators
Apply process and operational excellence

Requirements

Bachelor’s degree or above in Finance, Economics, Mathematics, Computer Science, Statistics, Process and Mechanical Engineering, Operations Research, Data Science, Accounting, or Business Administration, or equivalent work experience
Understanding of SAS programming and ability to interpret SAS logs
Strong experience with UNIX/Linux environments
Experience supporting batch processes using Autosys or a similar scheduler
Ability to troubleshoot and debug production issues
SQL experience preferred
Ability to understand organizational workflows, evaluate efficiencies, and identify process improvements
Ability to design and document tests measuring process and control effectiveness and compliance
Ability to produce testing results, reporting, and data-driven insights
Understanding of the end-to-end test development life cycle
Strong computational programming skills using Spark, R, C, Java, YAML, and other languages or scripts
Strong Python programming skills and knowledge of its packages
Understanding of the software engineering life cycle
Experience developing and maintaining complex databases and data sets
Ability to design, deploy, and refine predictive programming algorithms
Deep understanding of the product, underlying business, and associated technical domains
Ability to solve problems creatively and effectively
Clean, maintainable coding practices and proactive issue resolution

Core Competencies

Demonstrates expertise in process improvement, operational excellence, and data analysis, with strong capabilities in SAS programming, SQL, and Python. Proficient in troubleshooting production issues and developing analytical tools to enhance operational health and compliance.

Highest-signal resume keywords

SAS Programming
UNIX/Linux Environments
SQL Experience
Python Programming
Process Improvement

ATS Optimization Keywords Hard Skills

Data Analysis
Root Cause Analysis
Predictive Programming Algorithms
Computational Programming
Testing and Monitoring Methodologies
Batch Process Support
Database Development
Analytical Tool Development
Testing Script Creation
Process Control Effectiveness

Soft Skills

Problem Solving
Communication with Stakeholders
Creative Thinking
Collaboration with Teams
Proactive Issue Resolution

Industry Keywords

Operational Health
Process Flows
Compliance
Data Sourcing
Software Engineering Life Cycle

Tools & Technologies

Autosys
Spark
R
C
Java
YAML