Business Intelligence Engineer

Medical Solutions, LLC

1d•$80,000 - $110,000

About The Position

Business Intelligence Engineer - Job DescriptionThis position involves designing and delivering enterprise BI and analytics solutions,developing and maintaining data pipelines, and promoting self-service analytics acrossthe enterprise. Your mission will be enabling and empowering the business to be moreefficient with data and champion data driven decision making. We value open andhonest communication, and we strive to create a positive and fun team-basedenvironment. We want teammates that challenge themselves, as well as those aroundthem to create high quality analytical products and services.

Requirements

Bachelor's degree in Data Analytics, Computer Science, Applied Mathematics,Business, or a related field
1-3 years of experience in Business Intelligence, Data Engineering, or analytics
Strong knowledge of data visualization tools and SQL
Strong knowledge of data transformation tools and techniques
Experience building and designing BI semantic models in SSAS tabular withdeep knowledge of dimensional modeling (e.g. Ralph Kimballmethodologies/Star Schema)
Experience with modern data science languages and tools. Experience withdata pipeline tools such as Azure Data Factory (ADF preferred) or Databricksworkflows
Strong interpersonal communication skills and a collaborative, team-centricapproach

Nice To Haves

Experience developing and operationalizing data pipelines for consumption inmachine learning solutions within Databricks
Experience with Azure cloud and Python for data transformation
Experience using version control such as Git, TFS, or SVN
Familiarity with agile methodologies and practices
Strong consultative approach to problem-solving

Responsibilities

Design and build data solutions and reporting needs with customers andstakeholders
Coordinate with vendors to meet company standards and needs
Design, create and implement comprehensive BI and analytics solutions, andencourage the adoption of self-service analytics throughout the organization
Design and build data solutions and reporting needs with customers andstakeholders. Coordinate with vendors to meet company standards and needs
Ensure the team designs, builds, tests, and maintains solutions for datatransformation from a variety of data sources while modeling data in an efficientand performant manner
Document solutions, metadata, and processes to the required companystandard
Assist in problem management and root cause analysis
Build data expertise and employ best practices in engineering and analytics:data quality, test designs, code reviews, documentation, continuous integration,and continuous delivery
Work with team and product owners to prioritize and estimate effort
Participate in agile ceremonies, including planning, pointing, demos, and retros
Participate in architectural design decisions and communicate those to yourteam