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Data Visualization Contractor Hybrid
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Data Visualization C....
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Data Visualization Contractor Hybrid

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1 Vacancy
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Job Location

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West - USA

Monthly Salary

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Not Disclosed

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Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Req ID : 2694668
Title: Data Visualization Contractor (Hybrid)
Location: West Palm Beach FL
Estimated Duration: 6 months with possible extension (s)


Musthave skills: data modeling Oracle SQL Data Analysis Expressions (DAX) Microsoft Power BI specifically: Data Source Connections/Retrieval/Refreshing Data Transformation and ETL Data Modeling Microsoft Dataverse Quick Measures gov exp Microsoft TEAMS agile.


LOCAL CANDIDATES ONLY (currently located in FL)

Seniority on the skill/s required on this requirement: Mid.

Earliest Start Date: ASAP

Type: Temporary Project

Additional information: The candidate should be able to provide an ID if the interview is requested. The candidate interviewing must be the same individual who will be assigned to work with our client.

Requirements:
Experience in data modeling (5 years)
Experience in writing Oracle SQL (5 years)
Experience with Data Analysis Expressions (DAX) (5 years)
Experience in Microsoft Power BI specifically
Experience with Data Source Connections/Retrieval/Refreshing
Experience with Data Transformation and ETL
Experience with Data Modeling Microsoft Dataverse Quick Measures
Bachelors degree in computer science or IT related field is required

Preferred:
Governmental experience
Experience working in Microsoft Teams
Experience working in Agile environment

Responsibilities include but are not limited to the following:
Conduct data requirement gathering sessions with the H2OPOC project team.
Understand the data set and model needed to create the data visualization dashboard(s)
Iterate on the data model as new data sets are added.
Ensure acceptance criteria: Approved Data Model and Data Set Definition.
Ensure business user reviews and approves the data set documentation.
Extract transform and load (ETL) the data set into the data model.
Document the ETL process including data flow diagram and narrative

Employment Type

Full Time

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