We are looking for a Data Analyst to join a long-term contract opportunity in Oklahoma City, Oklahoma. In this role, you will evaluate business workflows, examine complex datasets, and uncover issues that affect data accuracy and operational performance. The position calls for someone who can translate findings into practical recommendations, build reporting solutions, and collaborate effectively with stakeholders across technical and business teams.<br><br>Responsibilities:<br>• Analyze large and complex datasets to identify inconsistencies, root causes, and opportunities to strengthen data reliability and business performance<br>• Create, test, and refine SQL queries, functions, and stored procedures to support scheduled reporting as well as one-time business requests<br>• Develop reporting and data collection solutions that improve efficiency, enhance visibility into operations, and support informed decision-making<br>• Examine trends, anomalies, and performance patterns in data and present meaningful insights to business leaders and project stakeholders<br>• Review reports, source data, and existing logic to detect defects, resolve data quality concerns, and improve overall output accuracy<br>• Document current business processes, workflows, and analytical findings while recommending practical improvements based on observed issues<br>• Perform data quality reviews and validation activities to ensure information is complete, accurate, and fit for reporting purposes<br>• Build a strong understanding of organizational procedures and operational workflows in order to align analysis with business needs<br>• Apply critical thinking and structured problem-solving to support fraud-related analysis, process improvement efforts, and cross-functional initiatives

• At least 3 years of experience in a data analyst, business analyst, or similar analytical role<br>• Minimum 2 years of hands-on experience developing SQL queries, functions, and stored procedures<br>• Strong knowledge of data modeling, database design, data mining methods, and reporting best practices<br>• Experience documenting business processes and translating technical findings into clear business recommendations<br>• Proficiency with tools such as Microsoft SQL Server, SQL Server Management Studio, Power BI, and cloud-based or enterprise reporting environments<br>• Demonstrated ability to gather, organize, analyze, and communicate large volumes of information with a high level of accuracy and attention to detail<br>• Effective verbal and written communication skills, with the ability to work independently and build productive relationships across teams<br>• Background in fraud analytics, fraud investigation, anti-fraud initiatives, or related analytical work is highly valued

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