Data Analytics Engineer

3 weeks ago

Chicago, Illinois, United States Chartis Full time

About Chartis

Chartis is a management consulting firm dedicated to helping health plans, provider organizations, and investors navigate the evolving healthcare landscape.

We bring healthcare executives market-leading insights and actionable strategies that create sustainable value by focusing on the capabilities and resources needed to execute our recommendations.

To do this, our professionals leverage a pragmatic approach and unparalleled expertise to empower every engagement.

Along with our team, we are comprised of uniquely experienced senior healthcare professionals and consultants who apply a distinctive knowledge of healthcare economics, markets, clinical models, and technology to help each client address their most pressing issues.

We question everything and apply thoughtful and rigorous analysis to each challenge, issue, and opportunity.

We are lucky to have extraordinarily talented people working in our firm - all brought together around our unifying mission, a shared dedication to our core values, and the emphasis we place on creating an environment that enriches the experiences of our clients, colleagues, and communities.

In this way, we find that we are remarkably aligned with our clients. And that has made for achieving some truly great things.

Role Overview

Analytics Engineers play an exciting role in sculpting analytics at Chartis, helping to design, build, and deploy cutting-edge capabilities to aid our clients across the healthcare industry while helping the growth of data analytics at the firm.

Responsibilities

  • Collaborate with data scientists, analysts, and advisory professionals to design and implement scalable data processes that support the organization's analytics needs
  • Develop and maintain processes to integrate disparate healthcare data sources, ensuring data accuracy, completeness, and timeliness
  • Maintain thorough documentation of data processes, data models, and data architecture to facilitate knowledge transfer and ensure compliance with organizational standards
  • Develop code using Big Data technologies such as Snowflake, PySpark, SQL, Python, dbt, R, SAS, etc.
  • Implement and enforce data quality standards, conduct data profiling, and collaborate with stakeholders to address data quality issues
  • Lead the translation, integration, and evolution of analytics artifacts deployed on client engagements into standardized and scalable components of the Chartis analytics operations
  • Work closely with cross-functional teams, including data scientists, analysts, and healthcare professionals, to understand analytics requirements and provide technical expertise
  • Identify business-aligned emerging healthcare analytic themes in collaboration with leadership and lead innovation with the design and development of new capabilities and solutions
  • Help define standards and best practices for enterprise usage
  • Support the continued development of data and analytics culture across Chartis Advisors through knowledge share, cross-functional training, and mentorship
  • Ensure the security, confidentiality, and integrity of client information for yourself and the team you supervise

Qualifications and Desired Skills

  • 3 to 5 years of applicable experience in Data Analytic, Data Science, Data Engineering, or Software Engineering
  • Previous exposure to common healthcare data file formats (e.g. 837s, administrative claims data)
  • Bachelor's Degree in technology-related field of study (e.g. Computer Science, Health Informatics, Management Information Systems (MIS), Data Science, Analytics, etc.)
  • Strong programming experience developing and delivering analytics with languages and tools such as SQL, Python, Snowpark, dbt, Jupyter Notebooks, R, and Git
  • Familiarity with healthcare data warehouses, data lakes, and analytics platforms
  • Strong interpersonal and communication skills - possessing the ability to communicate and deliver complex analytics information to clients and executive audiences
  • Previous experience with cloud data warehouse technologies such as Snowflake, Redshift, or BigQuery
  • Ability to aid in implementation of DevOps with knowledge and experience of various cloud environments, especially Microsoft Azure
  • Complex problem-solving and critical thinking skills - ability to identify, critically assess, evaluating options, and implementing solutions in a fast paced and dynamic environment
  • Ability to use logic and reason to identify strengths and weaknesses of alternative solutions, conclusions, or approaches to problems
  • Ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated information or events)
  • Eagerness to mentor/train/knowledge-share with the team
  • Enthusiasm to navigate and continue learning in an entrepreneurial environment

We are an equal opportunity employer

We value and celebrate the uniqueness of individuals and the different perspectives they provide.

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