Product Support

Jobtailor

Arizona

On-site

USD 90,000 - 130,000

Full time

2 days ago

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Job summary

Jobtailor is seeking an experienced Data & Quality Assurance professional to ensure the stability of a live test production environment, troubleshoot incidents, monitor health, and perform root cause analysis. You will develop analytical tools, understand data flows, and collaborate with risk managers and technology teams to drive improvements and reporting.

The role requires strong SAS, SQL, Python, and UNIX/Linux skills, with experience in batch scheduling, testing life cycles, and producing

Qualifications

Bachelor’s degree or above in Finance, Economics, Mathematics, Computer Science, Statistics, or related field.
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 and identify process improvements.
Ability to design and document tests measuring process and control effectiveness.
Ability to produce testing results and data-driven insights.
Understanding of the end-to-end test development life cycle.
Strong programming skills in Spark, R, C, Java, YAML, and other languages.
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 and refine predictive programming algorithms.
Deep understanding of the product and business context.
Ability to solve problems creatively and effectively.
Clean, maintainable coding practices and proactive issue resolution.

Responsibilities

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

Skills

SAS Programming

UNIX/Linux Environments

SQL Experience

Python Programming

Process Improvement

Root Cause Analysis

Testing & Monitoring

Data Analysis

Batch Process Support

Communications with Stakeholders

Education

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

Tools

Autosys

Spark

Java

YAML

Job description

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.

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