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Senior Consultant, Analytics Services

106k – 155kUnited StatesRemote3+ YOE
Summary

Manage end-to-end delivery of healthcare analytics projects, serving as primary client contact while collaborating with Data Science, Engineering, and Product teams. Requires 3-6 years of analytics experience, strong project management, and proficiency in SQL, Python, or R.

About the role

Responsibilities

  • Manage the end-to-end delivery of analytics projects, from scoping and planning to execution and delivery.
  • Collaborate with cross-functional teams, including Data Science, Engineering, and Product Management, to ensure alignment on project goals and deliverables.
  • Serve as the primary point of contact for clients, addressing any concerns or issues that may arise during the project lifecycle.
  • Monitor project progress and performance, proactively identifying risks and implementing mitigation strategies as needed.
  • Stay abreast of industry trends and best practices in healthcare analytics, incorporating new insights and technologies into our service offerings.

Requirements

  • Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics) or equivalent practical experience.
  • 3-6 years of experience in healthcare analytics or related field, with a proven track record of delivering analytics solutions to clients.
  • Strong project management skills, with experience leading cross-functional teams and managing client relationships.
  • Excellent communication and presentation skills, with the ability to convey complex analytical concepts to non-technical audiences.
  • Proficiency in data analysis tools and programming languages such as SQL, Python, or R.

Nice-to-Haves

  • Experience working in a consulting or professional services environment, preferably within the healthcare industry.
  • Experience with cloud-based analytics platforms such as AWS, Google Cloud Platform, or Azure.
  • Familiarity with healthcare data standards and regulations, such as HIPAA and GDPR.
  • Advanced analytical skills, including predictive modeling, machine learning, and data visualization.
Skills
SQLPythonRAWSGoogle Cloud PlatformAzurepredictive modelingmachine learningdata visualizationHIPAA
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