Senior Technical Data Analyst

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GHX

๐Ÿ’ต $87k-$116k
๐Ÿ“Remote - United States

Job highlights

Summary

Join our team as a Senior Technical Data Analyst and leverage your in-depth data analysis expertise to identify issues, extract insights, and develop data-driven solutions. Reporting to the Software Engineering Manager, you will lead deep-dive initiatives into large datasets, identify data inconsistencies, and create AI models to solve complex business problems. You will also mentor junior analysts and collaborate with cross-functional teams. This role requires a Bachelor's degree, 8+ years of experience in a technical analyst role, and mastery of SQL. The successful candidate will contribute innovative thoughts and ideas to our team. GHX offers a competitive salary and a comprehensive benefits package.

Requirements

  • Bachelorโ€™s degree in computer science, Information Technology, or a related field
  • Minimum of 8 years of experience in a technical analyst role
  • Mastery of SQL
  • Proven experience in data analysis and interpretation
  • Excellent analytical and problem-solving skills
  • Strong verbal and written communication and presentation skills

Responsibilities

  • Lead the necessary deep dive initiatives into large data sets to identify trends, patterns, and business opportunities and review and provide solutions based on acceptable best practices
  • Identify and diagnose data inconsistencies and errors, applying experience and enforcing quality and standards in taking corrective actions when necessary
  • Create, design, and implement AI models, predictions, architecture and other tools or methods to reduce and solve complex business problems using continuous improvement and scalable approaches
  • Collaborate with cross-functional teams to understand their business needs and develop appropriate solutions
  • Mentor a team of junior analysts, providing guidance and support as needed
  • Support current and future GHX data solutions by demonstrating a strong understanding of data, platforms, systems, and application in making recommended changes
  • Contribute different thoughts, ideas and viewpoints that lead to greater innovation on projects and cross-functional collaborative efforts

Preferred Qualifications

  • A masterโ€™s degree is preferred
  • Knowledge of AI, machine learning, and data science a plus
  • Experience with programming languages such as Python, R, and Bash a plus
  • Supply chain analysis or background is a plus
  • Familiarity with healthcare data rules and standards (such as HIPAA) from working with health or healthcare data (healthcare supplies procurement, purchasing, logistics, or data from EHR/EMR systems like Epic or Cerner) is a plus

Benefits

  • Health, vision, and dental insurance
  • Accident and life insurance
  • 401k matching
  • Paid-time off
  • Education reimbursement

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