Consultant, Analytics & Insights, Revenue Cycle

Chartis

1d•$104,000 - $135,000•Remote

About The Position

This role sits within Chartis's Strategic Intelligence & Technology (SIT) organization, which is focused on enabling internal and external transformation through modern technology, data, and analytics capabilities. The Analytics & Insights team specifically works on shaping and delivering sophisticated analytic deliverables and insights to clients, while also contributing to reusable analytics assets. This particular role will support the Revenue Cycle Transformation practice, bridging consulting teams, business stakeholders, and technical resources. The responsibilities include acquiring, preparing, and analyzing client data, delivering exploratory insights, upskilling consulting teams in advanced analytics, and supporting the design of scalable solutions. The role requires a combination of hands-on SQL and business intelligence (BI) skills with business consulting acumen to ensure data-driven insights are rapidly available to projects and to advance the practice in delivering best-in-class insights to clients.

Requirements

5-8 years of relevant analytics experience, with a minimum of 2 years in a professional related healthcare field is required.
Working knowledge of Epic Clarity database; Clarity/Cogito certification (or equivalent) is required.
Bachelor’s Degree in a quantitative or technology-related field of study (e.g., Business, Mathematics, Economics, Statistics, Analytics, or Informatics).
Previous experience executing analytics with programming languages (e.g., SQL, Python, R, Spark, PySpark, Scala) with deployment via notebook tools (e.g., Jupyter, Zeppelin).
Proficiency in SQL for querying, data extraction, and basic transformations.
Familiarity with BI tools (Power BI, Tableau).
Strong analytical and problem-solving skills, applying quantitative techniques to identify trends, diagnose issues, and developing evidence-based recommendations.
Skilled collaborator who partners effectively with client teams to frame data challenges, co-develop solutions, and substantiate recommendations with data-driven insights.
Proven ability to independently manage workstreams or projects, demonstrating initiative, accountability, and exceptional attention to detail.
Strong understanding of organizational KPIs and the ability to link analytics and recommendations to strategic performance goals.

Nice To Haves

Exposure to Snowflake or other cloud-based data platforms preferred.

Responsibilities

Partner with client teams to extract and acquire structured data based on our inventory of SQL code, along with non-SQL based data needs in the future.
Support extract, transfer, load (ETL) process with a high-touch customer service model to acquire and transmit data.
Write basic SQL scripts for data extraction and mapping.
Perform first-level cleaning and QA (deduplication, schema alignment, missing values).
Manage data from SFTP through to analytics deployment in internal analytics platform (Echo).
Conduct exploratory/first-pass analysis to uncover trends and issues.
Deliver stop-gap dashboards or ad-hoc reports in Power BI/Tableau to support project needs.
Prepare first-pass deliverables for consulting teams on analytics findings.
Collaborate with Domain Data Engineers to codify business rules into advanced SQL extraction and data build tools (DBT) and with BI Engineers to create impactful data visualization and storytelling.
Support Solutions Leads in designing analytic solutions that align with client process improvement goals.
Coach consulting and client teams on BI tool functionality and analytic interpretation.
Provide feedback on data quality and business logic for continuous improvement.