Remote Data Systems Analyst - Automation & Scheduling

Royal Credit Union Inc.; United States; Remote; USD 86,000 - 115,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401k match

Paid leave

Vacation accrual

Childcare reimbursement

Tuition assistance

Student loan assistance

Pet insurance

Job summary

Royal Credit Union Inc. is seeking a Data Systems Analyst to lead automation, data systems improvements, and batch job scheduling for core banking applications.

You will develop automated solutions, monitor performance, document procedures, and collaborate with business units and external vendors to ensure reliability. The ideal candidate has a degree in a related field, 3+ years in relational databases and automated processes, and strong SQL skills.

Qualifications

• Bachelor's degree or equivalent in a computer-related field or analytics.
• Three years of relational database systems and/or technical systems experience.
• Experience testing and automating business requirements.
• Strong SQL, databases, scheduling platforms, scripting, and process management.

Responsibilities

• Develops, deploys, monitors automated batch job scheduling and related back-office processes.
• Directs efforts with external vendors and collaborates with business units.
• Develops documentation and procedures and tests solutions.

Skills

SQL

Relational databases

Job scheduling

Scripting

Automated process management

Analytical thinking

Documentation

Communication

Education

Bachelor's degree or equivalent in a computer/analytical field

Tools

FISERV-DNA

Automic

Azure DevOps

Job description

Royal Credit Union Inc. is seeking a Data Systems Analyst to lead automation, data systems improvements, and batch job scheduling for core banking applications.

You will develop automated solutions, monitor performance, document procedures, and collaborate with business units and external vendors to ensure reliability. The ideal candidate has a degree in a related field, 3+ years in relational databases and automated processes, and strong SQL skills.