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Python Reporting Data Modeler SQL Analytical Tools Agile Framework Communication Sk
 
Requirement id 104769
Job title Analyst
Job location in Mountlake Terrace, WA
Skills required Python, Report Analysis, Scorecard Metrics, Reporting Data Modeler SQL Analytical To
Open Date 12-Mar-2020
Close Date
Job type Contract to Hire
Duration 3 Months
Compensation DOE
Status requirement ---
Job interview type Face to Face interview
   Email Recruiter: coolsoft
Job Description Analyst: Python, Report Analysis, Scorecard Metrics, Reporting Data Modeler SQL Analytical To

* Candidate must be local : Yes

Job Description :

Data Analyst

Duration: 4 Months

Location: Mountlake Terrace

Job Description

Join Our Team: Do Meaningful Work and Improve Peoples Lives


Our purpose, to improve customers lives by making healthcare work better, is far from ordinary. And so are our people. Working at Premera means you have the opportunity to drive real change by transforming healthcare.

To better serve our customers, were creating a culture that promotes growth, collaborative innovation, and inspired leadership. We are committed to creating an environment where people can do their best work and where best-in-class talent comes, stays, and thrives!

Anticipated Assignment End Date:

07/10/2020

Travel Necessary for the role: No

Contract Length: 4 months (40 hours a week)

Interview Process: Selected profiles will be invited to phone interview, those that pass will be invited for a virtual interview.



From Hiring Manager: Initiative, collaboration, understanding of data bases and how to query to get data, ability to manipulate data and create interesting and meaningful visualizations.

Summary:

The Data Analyst will design, develop, and implement metrics, operational reporting, scorecards, dashboards, and trend analysis to support Premeras Agile delivery process.

What they will do:

Design, develop, and implement analytics, operational reporting, scorecards, dashboards, and trend analysis to support Premeras Agile delivery practices
Analyze and interpret results using statistical tools and techniques to pinpoint trends and patterns in complex data.
Troubleshoot issues as they arise and independently solve problems.
Share knowledge of analytics and data in area of specialty.
Automate reported analytic products on large data sets.
Search and review industry and/or academic literature and identify appropriate quantitative methodologies.

What they will have:

Bachelors degree in statistics, mathematics, information systems, computer science, finance, information management, economics or similar quantitative area or the equivalent of four (4) years work experience in field.
Five (5) years experience in applying quantitative analytics tools, methods and processes, data architecture, database design, data transformation and data management and which includes three years experience with SQL, python, VBA or other scripting languages and associated data analytics software tools.
Experience with advanced analytics and tools. (Preferred)
Experience using a variety of data and data formats. (Preferred)
Working knowledge of Agile and Scaled Agile Framework (Preferred)


What they will bring:

Technical expertise creating data models, database design, data mining and segmentation.
Strong knowledge and experience with reporting packages, databases and programming.
Advanced knowledge of statistics and mathematical methods and experience using statistical packages for analyzing datasets.
Strong analytical skills with ability to collect, organize, analyze and disseminate significant amounts of information with attention to detail and accuracy.
Adept at queries, reporting and presenting findings using variety of data visualizations.
Excellent verbal, written, and presentation communication skills.
Excellent planning, prioritization and organizational skills.
Ability to apply practical data modeling to build data products.
Strong understanding of statistics and mathematical methods.
 
Call 502-379-4456 Ext 100 for more details. Please provide Requirement id: 104769 while calling.
 
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