Impactful Data Analyst: SQL, Python & Insights

ROK MEDICAL MANAGEMENT LLC; Oklahoma City (OK); On-site; USD 55,000 - 75,000; Full time

Job summary

ROK MEDICAL MANAGEMENT LLC is seeking a hands-on Data Analyst to support decision-making with reliable data and practical analytics. This onsite role in Oklahoma City, OK blends day-to-day work in SQL and Python with statistical analysis across the full data lifecycle, from dataset creation to insights shared with both technical and non-technical audiences.

You will build datasets and pipelines, apply quantitative methods to real business questions, and present insights to both technical and

Qualifications

• Demonstrated experience applying data and quantitative analysis to solve business or operational problems.
• Strong SQL skills, including querying, joining, transforming, and validating data in relational databases.
• Proficiency in Python for analysis and automation, with clear, maintainable code using libraries like Pandas.
• Working knowledge of statistics and quantitative methods; ability to interpret results.

Responsibilities

• Analyze complex business and operational data to surface trends, explain performance, and deliver 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 trusted datasets, data pipelines, queries, and analytical workflows; resolve data quality issues.
• Use quantitative methods to identify trends, patterns, and relationships in data.
• Partner with management to translate business questions into analytical requirements and prioritize data needs.
• Automate manual processes and improve the efficiency of reporting workflows.

Skills

SQL

Python

Pandas

Education

Bachelor's degree in a quantitative or technical field

Job description

ROK MEDICAL MANAGEMENT LLC is seeking a hands-on Data Analyst to support decision-making with reliable data and practical analytics. This onsite role in Oklahoma City, OK blends day-to-day work in SQL and Python with statistical analysis across the full data lifecycle, from dataset creation to insights shared with both technical and non-technical audiences.

You will build datasets and pipelines, apply quantitative methods to real business questions, and present insights to both technical and