BI Developer with Epic experience

Role Title: Business Intelligence Developer

Max Salary: $118,000

Preferred Location: MUST reside in the Cleveland, OH area but can work fully remote.

**NO 3rd Parties or Sponsorship

Role Description:

-Collaborate with DORA (Department of Operations Research & Analytics) personnel and development teams to create sustainable business value by transforming raw data into actionable insights for end users

Work with partners in Information Services to develop, deploy, and maintain effective data structures, ETL processes, BI infrastructure, data visualization, and analytic tools

Perform data manipulation, transformation, and automation using programming languages such as SQL, C#, Python, and R

Requirements:

Bachelor's degree in Computer Science, Finance, Operations Research, or related field, or equivalent experience.

Minimum of 5 years of development/analytical experience; up to 7 years of experience in lieu of a degree

Advanced knowledge of programming with Microsoft SQL

Experience with Electronic Medical Record (EMR) systems such as Epic

Familiarity with healthcare-related applications such as Kronos, Infor/Lawson, or EPSi

Experience with one or more of the following languages: C#, Python, or R.

Proficiency with the Microsoft BI stack (e.g., Visual Studio, SSDT, SSIS) and recent versions of SQL Server.

Familiarity with Git and/or Azure DevOps for version control.

Working knowledge of data visualization tools such as Tableau, Power BI, or Qlik.

Strong interpersonal skills and the ability to work effectively with diverse teams.

Preferred Qualifications:

Knowledge of Agile development/management methodology

Experience with machine learning, data mining, and predictive analytics

Project management experience

Familiarity with Big Data technologies (e.g., Hadoop, Spark, Hive, Pig, Sqoop, Flume, Oozie).

Knowledge of Cloud platforms such as Azure or AWS

Experience with Web Services (e.g., SOAP, Rest, WSDL)

Understanding of Continuous Integration/Continuous Delivery practices.

Proficiency in statistics, simulation, and data modeling