Senior Analytics Engineer

Senior Analytics EngineerAbout The Chartis GroupThe Chartis Group (Chartis) is a comprehensive advisory and analytics services firm dedicated to the healthcare industry. With an unparalleled depth of expertise in strategic planning, performance excellence, informatics and technology, and health analytics, we help leading academic medical centers, integrated delivery networks, children's hospitals and healthcare service organizations achieve transformative results. 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, our colleagues and our communities. In this way, we find that we are remarkably aligned with our clients. And that has made for achieving some truly great things. The Chartis Group has offices in Atlanta, Boston, Chicago, New York, Minneapolis, Portland, and San Francisco.Role OverviewIn your role as a Senior Analytics Engineer, you’ll join the Chartis Analytics team, helping develop analytic tools that are used by our clients and across our consulting practices. In this role, you’ll work in both individual and team-based environments, using your skills as a BI developer and data engineer to support visualizations, data pipelines and analytic methodologies. You’ll develop advanced dashboards in PowerBI and Tableau that will be used both within the firm and by our clients to provide insight into the complex challenges that healthcare providers face today. While there are no location requirements, we prefer geographic proximity to either our Chicago or Boston offices.Responsibilities

• Develop intuitive, interactive dashboards and efficient data models for an oncology-focused analytic tool that is used by both clients and consulting team members
• Architect and manage the ETL/ELT processes and data pipelines for disparate data sources, making it available for analytic reporting through multiple channels – PowerBI, Tableau Server, and our Snowflake data warehouse
• Work within a collaborative team to support all phases of an agile software development lifecycle – requirements gathering, development, testing, production operations, documentation.

• Build new datasets to maximize utility using advanced data management and visualization tools (e.g., Tableau, Alteryx, Python, Snowflake, etc.)

• Support team initiatives to improve our processes, delivery, and core analytic skills
• Help manage our enterprise PowerBI Premium and Tableau Server instances

• 4+ years of experience in a BI development/data engineering role
• Robust expertise with PowerBI Pro/Premium and Tableau Desktop/Server and the ability to independently create meaningful, visually striking dashboards and analytics.
• A strong understanding of core ELT processes, data modeling, relational database principles and design practices.
• Strong SQL skills required (Snowflake and/or Microsoft SQL Server preferred)
• Experience with dbt, Python, and cloud-based architectures – particularly Microsoft Azure and Azure Data Factory – a plus
• Experience with data management tools such as Alteryx and Tableau Prep is a plus.
• Experience with version control systems (git) preferred.
• Familiarity with healthcare data (e.g., claims data, hospital reporting data, or clinical decision support data) and analytics preferred
• Excellent verbal and written communication skills and a capacity for translating product and business needs into technical specifications
• Top-notch analytical and problem-solving skills, a passion for efficiency and a desire to learn more
• Chicago and Boston-based candidates are preferred