Senior Business Intelligence Analyst

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. The Senior Business Intelligence Analyst will support the migration lifecycle from on-prem SQL Server to Snowflake, bridging business stakeholders and technical teams to ensure accurate documentation and transition of data assets.

Responsibilities:

• Responsible for identifying opportunities for improving Data and Business Intelligence Solutions
• Data subject-matter expertise, or proven ability to identify and collaborate with the appropriate data SMEs. Works on complex projects/teams independently and acts as a mentor and lead to other Analysts
• Create user stories and write acceptance criteria
• Create and maintain inventories of database tables, views, attributes, stored procedures, code, SSIS packages, SSAS cubes, dimensions, measures, reports, reporting dependencies, and downstream consumer systems such as SAS, Moody’s, and internal applications
• Partner with business users to identify actively used data assets, reports, queries, and opportunities to retire unused assets
• Develop and maintain data dictionaries, source-to-target mappings (STTM), data lineage, and dependency documentation
• Serve as a lead for Data Q&A – Perform functional testing and data validation and liaison between business, developers, and other technical teams to coordinate UAT planning, execution, defect tracking, business signoff, report validation, migration readiness, and consumer system migration activities
• Track inventories, dependencies, risks, issues, decisions, and status throughout the migration lifecycle, including EDP (Enterprise Data Platform) adoption work to repoint CRDM-sourced EDW objects to corresponding EDP objects
• Establish processes and automation for the enterprise-grade Data & BI platform
• Ensure BECU Security, Governance, Enterprise Architecture guidance and protocols are adhered
• Communicate progress, risks, and issues to the project team
• Functional requirements documents (BRD) – with business requirements, dashboards and views, calculated measures, algorithmic inputs, SLAs, etc
• Source to Target mapping documents
• Technical specifications documents (TSD) – with architecture, data dictionary definitions, data model specifications, wireframes, computations/formulae for calculated measures, etc
• Test strategy, test plan and test cases for testing and data validation
• Create data testing/validation scripts/Alteryx workflows
• Produce operational support documentation (and runbooks with dev team’s help)
• Produce release notes/documentation
• Create documentation for change control
• Provide end-user adoption support
• Other project documentation and artifacts as defined and assigned by Project Manager or BECU Data & BI leadership

Requirements:

• Bachelor's degree in Computer Science, Math, IT, Business or equivalent work or educational experience required
• Minimum 7 years of experience in a related position working with data and BI solutions
• Strong BIA/BSA experience supporting data warehouse, analytics, or cloud migration initiatives
• Strong demonstrated experience acting as a business liaison and delivering both strategic and operational solutions to technical teams required
• Experience owning, supporting and delivering the full data life cycle development and its various phases required
• Advanced level knowledge of SQL and Data Modeling for SQL and NoSQL Repositories required
• Working knowledge of SQL Server, Snowflake, SSIS, Azure Data Factory, SSAS, and Power BI
• Experience with data mapping, lineage, requirements gathering, documentation, and UAT coordination required
• Advanced knowledge of multiple business intelligence and data discovery tool such as Tableau, Alteryx or Power BI required
• Understanding of Cloud Computing is required
• Understanding of data engineering vocabulary and data architecture and experience working with Azure, DataOps, JIRA or other Agile development team tools required
• Strong stakeholder engagement, organizational, and communication skills required
• Ability to plan, organize, schedule, and implement projects in accordance with established project management methodologies required
• Advanced level knowledge of data manipulation languages and tools such as Python, Alteryx etc