Senior Business Intelligence Developer

University of DelawareNewark, DE
Hybrid

About The Position

Under minimal supervision, this role is responsible for designing reports, data models, table structures, and data pipelines to facilitate enterprise reporting and analytics, aiding in decision-making for the University community. The position involves architecting and delivering dashboards, reports, analyses, data models, pipelines, and data warehousing solutions. It also includes working with clients to plan, design, develop, implement, and enhance applications, scripts, procedures, and metadata. The role requires designing data warehouse schemas and defining ETL processes in collaboration with ETL developers and database administrators, as well as designing, documenting, configuring, and optimizing database architectures and applications. Monitoring data warehouse and business intelligence system performance and integrity, enhancing and debugging dashboards and reports, and supporting enterprise data warehousing, data models, dashboards, infographics, and future data information systems are key duties. The position also promotes best practices in data management and software development within the Institutional Research and Effectiveness team and supports and guides junior Business Intelligence Analysts.

Requirements

  • Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or a related field and 4 years of experience, OR a Master’s degree and 2 years of experience
  • Experience working with business intelligence tools (e.g. Tableau, MicroStrategy)
  • SQL experience
  • ETL tools experience (e.g., Informatica)
  • Experience with transaction and data warehouse databases (e.g., Oracle)
  • Data modeling experience
  • Experience with data governance, security, and compliance
  • Agile collaboration experience

Responsibilities

  • Architect and deliver dashboards, reports, analyses, data models, pipelines, and data warehousing solutions
  • Work with clients to plan, design, develop, implement, and enhance applications, scripts, procedures, and metadata
  • Design data warehouse schema and define extract/transform/load (ETL) processes for the data warehouse in collaboration with ETL developers and database administrators
  • Design, document, configure, and optimize database architectures and applications
  • Monitor the data warehouse and business intelligence system performance and integrity
  • Enhance and debug dashboards and reports
  • Support enterprise data warehousing, data models, dashboards, infographics, and future data information systems
  • Promote best practices in data management and software development within the Institutional Research and Effectiveness team
  • Support and guide junior Business Intelligence Analysts
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