Analytics Engineer

Chártis - Chicago, IL

Full-time

Chicago, IL

Insurance Carriers and Related Activities

About the position

The Analytics Engineer at HealthScape Advisors plays a crucial role in shaping analytics capabilities to support clients in the healthcare industry. This position involves designing, building, and deploying advanced data processes and analytics solutions, while fostering a culture of data-driven decision-making within the firm. The role requires collaboration with various stakeholders to ensure data accuracy and compliance, as well as the development of innovative analytics capabilities.

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 HealthScape 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 HealthScape 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

Requirements

• 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