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Senior Data Modeler with Healthcare domain experience || Remote at Remote, Remote, USA
Email: [email protected]
Hello,

My name is Divya Pandey. and I am a Staffing Specialist at Resource Logistics.
I am reaching out to you on an exciting job opportunity with one of our clients

COMPLETE JOB DESCRIPTION
IS BELOW FOR YOUR REVIEW:

Job Title:
Senior Data Modeler

Location: Remote 

Hire Type:
Contract 

Job Description: 

The Senior Data Modeler is responsible for converting an
understanding of key objects and processes in the business into a coherent
digital structure, a data model. This data model serves as the information
architecture blueprint for systems that create, store, manipulate, retrieve,
and display information for various business functions.

Key Responsibilities:

Employ Entity-Relationship modeling with the intent of
producing a design best suited for retrospective analysis of data.

Determine the right set of facts and surrounding dimensions
suited to perform the desired type of analysis or queries against the data.

Analyze existing business system data, data profiling, and
source analysis.

Key Skills:

Expert in Entity-Relationship modeling, with specific expertise
in Star/Snowflake Schema modeling.

Expert in one or more enterprise-level Modeling tools, IDA,
ERWin, ER-Studio, etc.

Advanced understanding of data normalization and denormalization
techniques.

Expert in Metadata management and tools.

Advanced experience in Master Data management/systems and
Reference Data management/systems.

Advanced experience with modeling process creation and
implementation.

Expert in understanding business needs to translate those needs
into an effective model.

Skilled in analyzing existing business system data, data
profiling and source analysis.

Advanced experience with ETL architecture, warehouse
implementations and experience with enterprise level ETL tools.

Expert in designing and implementing data quality assurance
processes to ensure ETL is correctly sourcing, translating and populating data.

Advanced understanding of physical database/data-storage
principles, including Google Cloud Platform as well as RDBMS used by COTS.

Advanced industry experience and understanding of key Healthcare
data from EHRs, ERPs, LIS, Patient Portals, Practice Management, MPIs, etc.
(Preferred but not mandatory)

Expert oral and written communications skills.

Strong interpersonal skills including the ability to lead and
facilitate discussions with business and technical stakeholders from executive
level leadership to daily hands-on contributors.

Expert in time-management and self-directed activity.

Working Hours: The working hours are primarily based on Central
Time Zone, from 8 am to 5 pm. However, there is flexibility depending on the
workload and deliverables.

Interview Process: The interview process will be conducted through
Google Meet and will consist of two rounds, with a possibility of a third round
if there is a lot of competition. Each interview will last a minimum of one
hour.

Training: There will be Environmental Training provided which is
Ascension based.

Travel: No travel is required for this position.

Experience: A minimum of 5 to 7 years of experience is required
for this role. This kind of skills take almost a decade to build.

Interaction: The role involves interaction with multiple teams
within the organization.

Location: The position is fully remote. The location is not a big
issue as long as the candidate can work in the Central Time Zone.

Additional Requirements:

Must obtain a Bachelors degree in a technology, technical or
computer-science field.

6+ years with experience in the data space.

Healthcare experience required.

UDMH Data Modeling expertise.

IBM InfoSphere experience.

Data mapping and analysis.

Architecting of data within the model.

Thanks & Regards,

Divya
Pandey, Technical Recruiter

 |Email: [email protected]

Resource
Logistics, Inc.

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Keywords: access management information technology
Senior Data Modeler with Healthcare domain experience || Remote
[email protected]
[email protected]
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Mon Apr 29 19:25:00 UTC 2024

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