Business Systems Analyst

Brooksource; United States; On-site; USD 83,000 - 90,000; Full time

Benefits offered by this job

Remote work flexibility

Competitive hourly compensation

Job summary

Brooksource is seeking a Business Systems Analyst IV to support and ensure the quality, integrity, and reliability of enterprise data across multiple business applications and data consumers. This role serves as a critical liaison between business and technical teams, helping to investigate data issues, perform data quality analysis, support testing efforts, and improve operational processes.

The ideal candidate combines strong technical aptitude, analytical problem-solving skills, data

Qualifications

• 5+ years of SQL data analysis and quality initiatives.
• 5+ years in a large enterprise environment.
• Strong Python and data analysis capabilities.
• Knowledge of data lineage and governance concepts.
• Excellent communication and cross-team collaboration.

Responsibilities

• Bridge between business and technical teams to align solutions with requirements.
• Investigate data quality, data drops, duplicates, and accuracy issues.
• Research data lineage and map data across systems.
• Perform data quality validations and root cause analysis.
• Participate in Jira work items and project delivery.
• Support testing efforts and merger-related data activities.
• Leverage AI tools to improve efficiency and analysis.

Skills

Analytical thinking

Data analysis

Problem solving

Cross-team collaboration

Attention to detail

Education

Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or related field

Tools

SQL

Python

Job description

6-12 month contract with potential for extension

On-site role in Charlotte, St. Louis, or Dallas

Compensation: $60 - $65 per hour

About the Role

Our client is seeking a Business Systems Analyst IV to support and ensure the quality, integrity, and reliability of enterprise data across multiple business applications and data consumers. This role serves as a critical liaison between business and technical teams, helping to investigate data issues, perform data quality analysis, support testing efforts, and improve operational processes. The ideal candidate combines strong technical aptitude, analytical problem-solving skills, data validation expertise, and the ability to collaborate effectively across teams. Experience working with SQL, Python, enterprise data environments, and emerging AI capabilities is highly valued. Success in this role will be measured by the accuracy of data delivery, effective issue resolution, process improvements, and overall support of business objectives.

What You'll Do

• Serve as a bridge between business stakeholders and technical teams to ensure solutions align with user needs and organizational goals.
• Investigate and resolve data inquiries related to data quality, data drops, duplicate records, accuracy concerns, and other data-related issues.
• Research data lineage and trace data mappings across systems to identify and resolve inconsistencies.
• Perform data quality validations, anomaly detection, and root cause analysis to maintain high data integrity standards.
• Participate in ticket triage meetings and production migration reviews, providing analysis and recommendations as needed.
• Create, update, and manage work items within Jira to support issue tracking and project delivery.
• Partner with Data Quality and Data Validation teams to support testing efforts and leverage tools such as Monte Carlo and Octane.
• Review existing workflows and processes, identify opportunities for improvement, and help implement best practices.
• Support evaluation of new features, technology initiatives and merger-related data efforts.
• Leverage AI knowledge and tools to improve team efficiency, accelerate analysis, and support operational objectives.

What You Bring

• Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field.
• 5+ years of experience working with SQL, including ad hoc query development, data analysis, data validation, and data quality initiatives.
• 5+ years of experience working in a large enterprise environment.
• Strong understanding of Python and its applications in data analysis, automation, or technical problem-solving.
• Experience performing data quality assessments, data validation, troubleshooting, and anomaly detection.
• Ability to analyze complex issues, think critically, and identify practical solutions.
• Strong understanding of data lineage, data mapping, and data governance concepts.
• Excellent analytical, organizational, and troubleshooting skills.
• Strong attention to detail and commitment to data accuracy.
• Ability to thrive in a fast-paced, collaborative environment.
• Excellent written and verbal communication skills with the ability to work effectively across technical and business teams.
• Self-motivated, proactive, and results-oriented mindset.

Preferred Qualifications

• Hands-on Python programming experience.
• Experience with UNIX/Linux shell scripting.
• Snowflake experience.
• Data warehousing experience.
• Experience supporting enterprise-scale data platforms and analytics environments.
• Familiarity with AI tools and technologies used to improve productivity and operational efficiency.

What's In It For You

• Opportunity to work on enterprise-scale data initiatives supporting critical business operations.
• Exposure to large-scale data integration and transformation efforts, including merger-related activities.
• Collaborative environment with both business and technical stakeholders.
• Remote work flexibility.
• Competitive hourly compensation.
• Opportunity to leverage modern data technologies, AI tools, and best practices to drive meaningful business outcomes.

Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.