Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.
Job Description
Become a part of our caring community The Business Intelligence Engineer 2 supports Service Fund Operations by designing, developing, and maintaining data solutions by working with SQL , Data Bricks, and UDAP (Unified Data Access Platform) environments. This role facilitates improving business operations, ensuring accurate analytics, reporting that enable strategic decision-making and operational excellence. This role also supports continuous system reporting enhancement testing and production of data migrations in progress from mainframe and on-premises SQL servers to Cloud/ UDAP environment. Key Responsibilities + Utilizes technical skills to drive process improvement + Conducts data research and/or data processing trouble shooting + Assists in producing data ad hoc requests using Excel, PowerPoint, Power BI/Power Platform, and other various analytical tools + Supports the Senior Business Intelligence Engineers on the Service Fund team + Develops data reporting tools and reporting automation + Develop and optimize ETL pipelines using UDAP to consolidate data from multiple sources, ensuring data integrity for Service Fund and provider operations + Develop and maintain User Testing acceptance data models that optimize data quality using SQL , Python and/or
Data Bricks Collaboration & Continuous Improvement:
+ Can independently work with cross-functional teams-including business operations, IT, and provider relations-to streamline data processes + Support requirements gathering and define Business Use Case user stories as part of system reporting enhancements needs The ideal applicant will possess the following skills: + Industry Knowledge + Business Acumen + Engaging Presentations + Decision Making + Project Management + Business Analytics + Analytical Thinking + Problem Solving + Emerging Technologies + Teamwork Use your skills to make an impact Required Qualifications + 3+ years of data analysis experience + 3+ years advanced experience developing complex SQL queries + Advanced knowledge of Excel (ex. Pivot tables, VLOOKUP's, formatting, etc.) + Expertise in assessing complex data sets and performing root cause analysis + Experience with Azure, Data Bricks, SQL , and business intelligence tools. + Strong analytical, problem-solving, and communication skills. + Ability to interpret business requirements for provider operations and translate them into technical solutions. Preferred Qualifications + To view full details and how to apply, please login or create a Job Seeker account