Business Intelligence Developer

Key Responsibilities

• Design, develop, and maintain dashboards and reports using business intelligence tools (e.g., Power BI)
• Develop and manage datasets, data models, and semantic layers to support consistent reporting 3. Write, optimize, and maintain SQL queries, views, and stored procedures
• Build and maintain ETL/ELT pipelines for data ingestion and transformation
• Collaborate with stakeholders to gather requirements and translate them into reporting and analytics solutions
• Ensure data accuracy, quality, and consistency across reporting systems
• Develop and maintain documentation for data models, reports, and processes
• Monitor and troubleshoot data pipelines and reporting solutions
• Implement and maintain data governance and best practices
• Work with cloud-based data platforms (e.g., Azure) to support analytics solutions
• Assist in integrating data from internal and third-party systems
• Identify opportunities to improve data processes and reporting efficiency
• Provide support for production BI and analytics systems
• Additional duties as assigned

Skills, Knowledge and Expertise

Required Education, Experience, Licensure, and Competencies

• 2–5+ years of experience in BI, analytics, or data-focused roles
• Bachelor’s degree in a technical or quantitative field or equivalent experience
• Strong experience with Power BI and DAX or similar BI tools and languages 4. Strong SQL skills for data querying and transformation
• Experience with data modeling (dimensional modeling, semantic layers)
• Experience building and maintaining ETL/ELT pipelines
• Experience with Microsoft Azure or similar cloud platforms
• Strong understanding of data quality, validation, and governance practices
• Experience working with structured deployment processes (e.g., CI/CD, Azure DevOps)
• Strong attention to detail and data accuracy
• Effective written and verbal communication skills
• Ability to work independently in a remote environment
• Ability to manage multiple priorities and meet deadlines

Preferred Education, Experience, and Competencies

• Experience in the mortgage industry or with Encompass (strongly preferred)
• Experience with Python for data pipelines and automation
• Experience with machine learning concepts or tools (e.g., scikit-learn)
• Familiarity with modern data platforms (e.g., Microsoft Fabric, Snowflake, lakehouse architectures)
• Experience with data transformation tools (e.g., Power Query, Spark, PySpark)
• Experience implementing data governance and KPI frameworks
• Experience working with AI-assisted analytics tools and platforms
• Familiarity with vector databases, semantic search, or AI-driven analytics workflows