Data Modeler / Analyst - Healthcare

Exusia, Inc.; New Jersey; Remote; USD 80,000 - 100,000; Full time

Job summary

An established industry player seeks a Senior Data Analyst to join their dynamic team. This role involves delivering innovative data-driven solutions through comprehensive data analysis and modeling. You will work closely with cross-functional teams to translate business requirements into technical specifications while ensuring data integrity and quality. The ideal candidate will possess strong SQL skills, hands-on experience with data modeling tools, and a proactive attitude. If you're looking to make an impact in a fast-paced environment and drive meaningful change, this is the perfect opportunity for you.

Qualifications

• Minimum 8 years as a Senior Data Analyst and Data Modeler.
• Hands-on experience with SQL and data modeling tools.

Responsibilities

• Lead data analysis and modeling activities, ensuring data quality.
• Collaborate with stakeholders to gather and document requirements.

Skills

SQL

Data Analysis

Data Modeling

Python

Problem Solving

Communication Skills

Education

Master of Science in Computer and Information Sciences

Bachelor of Engineering

Tools

Snowflake

Erwin

ER Studio

InfoSphere Data Architect

Job description

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

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!

1. 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.
2. Master of Science (preferably in Computer and Information Sciences or Business Information Technology) or an Engineering degree in the above areas.
3. Experience working in an agile software delivery model is required.
4. Prior data modeling experience is mandatory preferably for DWH/Data marts.
5. Self-motivated and proactive in a fast-paced environment.
6. Excellent communication, creative problem solver, flexible, proactive, attitude to learn newer tools/technologies.

Responsibilities

1. Own and Lead Data Analysis and data modeling activities; previous experience and certification with Snowflake preferred.
2. Discuss & document data and analytics requirements with cross-functional teams and business stakeholders.
3. Analyze requirements and come up with technical specifications, source-to-target mapping, data and data models.
4. Data profiling and cleaning data for data analysis. Interpret data, analyze results, prepare data analysis reports.
5. Perform Data validation and testing to certify data.
6. Collect, analyze and disseminate significant amounts of information to project team & business stakeholders.
7. Manage changing priorities during the software development lifecycle (SDLC).

Requirements

Mandatory Skills

1. Able to create Logical and Conceptual data models for business and functional users.
2. Understanding of ER and Dimensional modeling techniques like Star, Snowflake or Constellation.
3. Hands-on experience in implementing Star Schema and Relational (Normalized including 3NF) models is mandatory.
4. Should have implemented physical data models for a variety of RDBMS and cloud-hosted databases.
5. Strong understanding of different types of facts and dimensions.
6. Hands-on experience with data modeling tools like Erwin, ER Studio, InfoSphere Data Architect (IDA).
7. Strong SQL or Python skills for carrying out data analysis and data profiling.
8. Transforming business/functional requirements into technical specifications.
9. Capturing data mapping / data transformation and business rules logic using source to target mapping templates.
10. Hands-on exposure to SQL and NoSQL databases and able to write pseudo-code for ETL requirements.
11. Data validation and testing using SQL or any tool-based testing methods.

Nice to have skills

1. Exposure to scrum master or product owner role will be desirable.
2. Knowledge of data processing / ETL using Snowflake / DBT / Python / Scala / Apache Spark / Databricks.
3. Exposure to one or more Cloud platforms – Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform.
4. Exposure to Data Governance projects including Metadata Management, Data Dictionary, Data Glossary, Data Lineage and Data Quality aspects.
5. Experience and knowledge of Healthcare domain preferred – knowledge of healthcare data and data models required. Knowledge of Claims (Medical and Pharmacy), EMRs, EHR required.