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Data Modeler/Analyst - Healthcare
Remote / Online - Candidates ideally in
Chicago, Cook County, Illinois, 60290, USA
Listed on 2026-01-04
Chicago, Cook County, Illinois, 60290, USA
Listing for:
Exusia, Inc.
Full Time, Remote/Work from Home
position Listed on 2026-01-04
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst
Job Description & How to Apply Below
## Data Modeler / Analyst - Healthcare United States
· Full-time
· Intermediate#### About The Position
** Department:
** Client Delivery Team - Empower
** Industry:
** Information Technology & Services, Computer Software, Management Consulting
*
* Location:
** Chicago/New Jersey/Remote (Anywhere in United States)
** Experience Range**:
8 + years
** Basic
Qualification:
** Master/Bachelor of Engineering or Equivalent
** Travel Requirements:
** Not required
** Website**:
Full-time job to work with Exusia's clients in the United States to deliver on bleeding-edge data-driven solutions by performing business and data analysis, data modeling, data mapping and translating functional requirements into technical specifications.
Work with Client Product Owners & Business SMEs, Exusia Solution Architects and Senior Application Designers/Developers.
** Criteria for the Role!*
* · Have a minimum of 8 years of experience working as a Senior Data Analyst and Data Modeler. Must be hands on with the ability to write complex SQL.
· Master of Science (preferably in Computer and Information Sciences or Business Information Technology) or an Engineering degree in the above areas.
· Experience working in an agile software delivery model is required.
· Prior data modeling experience is mandatory preferably for DWH/Data marts
· Self-motivated and proactive in a fast-paced environment.
· Excellent communication, creative problem solver, flexible, proactive, attitude to learn newer tools/technologies
** Responsibilities*
* · Own and Lead Data Analysis and data modeling activities, previous experience and certification with Snowflake preferred.
· Discuss & document data and analytics requirements with cross functional teams and business stakeholders.
· Analyze requirements and come up with technical specifications, source-to-target mapping, data and data models
· Data profiling and cleaning data for data analysis. Interpret data, analyze results, prepare data analysis reports.
· Perform Data validation and testing to certify data
· Collect, analyze and disseminate significant amounts of information to project team & business stakeholders.
· Manage changing priorities during the software development lifecycle (SDLC)#### Requirements
** Mandatory Skills***
* · Able to create Logical and Conceptual data models for business and functional users***
* · Understanding of ER and Dimensional modeling techniques like Star, Snowflake or Constellation*
* · Hands on experience in implementing Star Schema and Relational (Normalized including 3NF) models is mandatory*
* · Should have implemented physical data models for a variety of RDBMS and cloud hosted databases***
* · Strong understanding of different types of facts and dimensions***
* · Hands on experience with data modeling tools like Erwin, ER Studio, Info Sphere Data Architect (IDA)***
* · Strong SQL or python skills for carrying out data analysis and data profiling*
* · Transforming business/functional requirements into technical specifications.*
* · Capturing data mapping / data transformation and business rules logic using source to target mapping templates*
* · Hands-on exposure to SQL and No
SQL databases and able to write pseudo-code for ETL requirements.
· Data validation and testing using SQL or any tool-based testing methods
** Nice to have skills*
* · Exposure to scrum master or product owner role will be desirable
· Knowledge of data processing / ETL using Snowflake / DBT / Python / Scala / Apache Spark / Databricks
· Exposure to one or more Cloud platforms – Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform
· Exposure to Data Governance projects including Metadata Management, Data Dictionary, Data Glossary, Data Lineage and Data Quality aspects.
· Experience and knowledge of Healthcare domain preferred – knowledge of healthcare data and data models required. Knowledge of Claims (Medical and Pharmacy), EMRs, EHR required.
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