BI ETL Data Developer III

Miami University Alumni Association-posted 5 months ago

$75,000 - $83,000/Yr

Full-time • Mid Level

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We are looking for someone who loves all things data, loves a challenge and is looking for a dynamic and highly rewarding position at a nationally respected University. Is this you? Our ideal candidates, like you, will help Miami University to continue to take big steps forward with our data analytic environment that is unifying multiple successful data-driven business intelligence and data analysis efforts across campus. This is a chance to help guide Miami’s data-driven future. As the Business Intelligence ETL Data Developer and a member of our team, reporting to the Director of the Business Intelligence Center, you will have great opportunities to grow technically and professionally in multiple data driven disciplines.

Build, create, or improve solutions that help analysts transform data into knowledge.
Develop and deploy ETL (Extract, Transform, Load) processes and supporting programs.
Work with essential players to develop custom Business Intelligence (BI) solutions for the University.
Lead projects in the development and use of our BI software tools and systems.
Lead proactive change management efforts for BI platforms integrated with enterprise applications.
Bring new development ideas to existing applications and processes, look for ways to enhance existing specifications based on current requirements.
Work in partnership with the university offices to optimize use of data driven solutions, including the development of stories and test cases.
Develop/assist end-user training and training materials and provide guidance and mentoring for the campus BI Community.
Develop/provide documentation and support for deployed BI applications.
Build positive relations and serve as a liaison with IT clients and IT Services staff.

Bachelor's degree earned by date of hire AND 4+ years of relevant experience OR Associate’s degree earned by date of hire AND 6+ years of relative experience.
Technical: PL/SQL and SQL programming, Relational database architectures at enterprise scale.
Environments such as SQL Server, MySQL, Oracle, or Redshift.
Enterprise business intelligence and data analytics technologies, such as Oracle OBIEE, MS Power BI, Tableau, Oracle Warehouse Builder (OWB), and Oracle Data Integrator (ODI), Snowflake.
Industry standard data models such as Kimball’s dimensional model.
Methods in change data capture and slowly changing dimension loads and updates processes.
BI development best practices such as source code, prototyping, and testing.
Basic troubleshooting best practices with specific focus on enterprise BI systems.
Data analytics and BI industry trends including data mining, data modeling, machine learning, visualization, data lakes and predictive modeling.
Supporting BI technology in a higher educational setting.
Analytical tools available in cloud infrastructure such as AWS, Azure, and GCP.

Associate's or Bachelor's Degree in Computer Science, Information Technology, Business Analytics, or a related field.
Demonstrable ability to be a strong verbal and written communicator both at the technical and people level.
Demonstrable ability in building consensus among teams, clients and organizational leaders.
Experience with Snowflake and/or conversion from OAS to Snowflake and Tableau.

Salary Minimum: 75000
Salary Maximum: 83000
Benefit Eligible: Yes

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