Data Modeler / Analyst - Healthcare

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.

Basic Qualification: Master/Bachelor of Engineering or Equivalent, 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, 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, InfoSphere 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 NoSQL 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.