Data Analyst

Posted 4 Days Ago
73114, Oklahoma City, OK, USA
In-Office
Entry level
Healthtech
The Role
Analyze business and operational data to identify trends, explain performance, and provide actionable insights. Build and maintain SQL and Python workflows, datasets, pipelines, and reports; validate data quality; apply statistical methods; translate stakeholder questions into analytical requirements; and automate manual processes to improve reporting efficiency and scalability.
Summary Generated by Built In
Job Summary

Rx 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.

Responsibilities
  • Analyze complex business and operational data to identify trends, explain performance, answer business questions, and provide actionable insights and reporting
  • Write and maintain SQL and Python code to extract, clean, transform, validate, and analyze data from multiple sources
  • Develop and maintain reliable datasets, data pipelines, queries, and analytical workflows; identify and resolve data quality issues
  • Apply quantitative and statistical methods to identify, analyze, and interpret trends, patterns, anomalies, and relationships in complex datasets
  • Partner with management and business stakeholders to translate business questions into clear analytical requirements and prioritize data needs
  • Identify opportunities to automate manual processes, improve data quality, and make analytical and reporting workflows more efficient and scalable
QualificationsSkills and Experience
  • Demonstrated experience using data and quantitative analysis to solve business or operational problems; 2+ years of prior Data Analyst experience is preferred but equivalent technical experience will be considered
  • Strong SQL skills, including experience querying, joining, transforming, and validating data in relational databases
  • Proficiency in Python for data analysis and automation, with experience writing clear, maintainable code (for example, using pandas or similar data libraries)
  • Proficiency in Power BI program.
  • Working knowledge of statistics and quantitative methods, with the judgment to select appropriate analytical approaches and interpret results accurately
  • Strong analytical and numerical aptitude, curiosity, and attention to detail, with the ability to work through ambiguous problems and large or messy datasets
  • Ability to communicate analytical findings clearly and concisely through written summaries, reports, visualizations, and presentations to non-technical stakeholders
  • Bachelor’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

Skills Required

  • Demonstrated experience using data and quantitative analysis to solve business or operational problems
  • Strong SQL skills, including querying, joining, transforming, and validating relational data
  • Proficiency in Python for data analysis and automation, including maintainable code using pandas or similar libraries
  • Working knowledge of statistics and quantitative methods
  • Strong analytical and numerical aptitude, curiosity, attention to detail, and ability to work with ambiguous problems and large or messy datasets
  • Ability to communicate analytical findings through written summaries, reports, visualizations, and presentations
  • Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics, Data Science, Economics, Information Systems, or another quantitative or technical field; equivalent relevant experience considered
  • Prior Data Analyst experience
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The Company
HQ: Oklahoma City, OK
Year Founded: 2001

What We Do

RX Medical, LLC is a medical device distributor dedicated to providing industry-leading orthopedic, spine, and pain solutions. As a distributor for brands such as Zimmer Biomet, Orthofix, and Breg, the company provides surgeons and healthcare providers with the latest technological and innovative medical advancements to improve patient care.

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