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Power BI Developer - Remote

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LanceSoft Inc

2021-12-03 08:53:33

Job location Louisville, Kentucky, United States

Job type: fulltime

Job industry: Consulting & Corporate Strategy

Job description

Job Description

Description:
OPPORTUNITY TO BE EXTENDED OR GO PERM BUT CANNOT BE GUARANTEED
LOCATION: WORK FROM HOME

Main responsibilities primarily involve the following:
• Work collaboratively across the team and organization to design, build, and maintain analytical solutions to support Stars
• Architect data models needed for development of Power BI reports
• Identify, source, transform and validate data
• Work collaboratively with teammates to optimally apply data warehouse, cloud and BI architecture, and visualization techniques
• Identify and understand business problems to help the team design the right solution
• Lead healthcare analytics visualization projects
• Enable customers to derive insights from the tools provided by the team
• Ensure solutions provide the highest quality of data on a daily basis
• Contribute to moving the team towards cloud-based BI platform

Required Qualifications:
• Bachelor's degree and 3 or more years of BI experience OR Master's degree and 2 or more years of experience
• Advanced in SQL Server and/or other data systems
• Advanced with Microsoft Power BI and Azure
• Experience automating, simplifying business processes, and/or streamlining workflows using Python or similar product
• Advanced experience working with big and complex data sets within large organizations
• Experience analyzing data to solve a wide variety of business problems
• Experience communicating information through data visualizations
• Proficiency in verbal and written communication to senior leadership
• Must be passionate about contributing to an organization focused on continuously improving consumer experiences
• Comprehensive knowledge of Microsoft Office applications including Word, Excel and PowerPoint Experience with data validation and research
• A strong attention to detail and sense of curiosity

Preferred Qualifications:
• Proficiency in understanding healthcare related data
• Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering, or related field
• Advanced in Python programming
• Expertise in data mining, forecasting, simulation, and/or modeling
• Experience creating analytics solutions for various healthcare sector

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