Data Analyst

Data AnalystOklahoma City - Oklahoma City, OK 73114DescriptionRx Medical is an independent sales agent for approximately 40+ medical device manufacturers, including Fortune 500 medical companies such as Zimmer Biomet, Orthofix and Breg. We offer support devices and services for neurosurgical and orthopedic physicians. Healthcare providers we serve include surgeons, family practitioners, physician assistants, and hospital staff. We are looking for a highly analytical, technically minded Data Analyst who enjoys working with numbers, solving complex problems, and using data to improve business decisions. The successful candidate will be comfortable working hands-on with data and code, translating ambiguous business questions into structured analyses, and communicating findings clearly to both technical and non-technical stakeholders. This role will support the full data lifecycle, including data acquisition, transformation, analysis, validation, reporting, and process improvement.ResponsibilitiesAnalyze complex business and operational data to identify trends, explain performance, answer business questions, and provide actionable insights and reportingWrite and maintain SQL and Python code to extract, clean, transform, validate, and analyze data from multiple sourcesDevelop and maintain reliable datasets, data pipelines, queries, and analytical workflows; identify and resolve data quality issuesApply quantitative and statistical methods to identify, analyze, and interpret trends, patterns, anomalies, and relationships in complex datasetsPartner with management and business stakeholders to translate business questions into clear analytical requirements and prioritize data needsIdentify opportunities to automate manual processes, improve data quality, and make analytical and reporting workflows more efficient and scalableQualificationsDemonstrated experience using data and quantitative analysis to solve business or operational problems; prior Data Analyst experience is preferred but equivalent technical experience will be consideredStrong SQL skills, including experience querying, joining, transforming, and validating data in relational databasesProficiency in Python for data analysis and automation, with experience writing clear, maintainable code (for example, using pandas or similar data libraries)Working knowledge of statistics and quantitative methods, with the judgment to select appropriate analytical approaches and interpret results accuratelyStrong analytical and numerical aptitude, curiosity, and attention to detail, with the ability to work through ambiguous problems and large or messy datasetsAbility to communicate analytical findings clearly and concisely through written summaries, reports, visualizations, and presentations to non-technical stakeholdersBachelor's degree in Engineering, Computer Science, Mathematics, Statistics, Data Science, Economics, Information Systems, or another quantitative or technical field; equivalent relevant experience will also be considered