Data Modeler / Analyst - Healthcare

Description

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:                                  www.exusia.com

What’s the Role?

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, 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.