Sr. Business Intelligence Analyst.

Key Tools/Technologies:

• SQL and other relational database concepts and languages required
• Alteryx
• Python
• Tableau
• PowerBI
• SQL Server Management Studio
• Azure Synapse
• Advanced Excel, Word and PowerPoint
• Data ingestion/ETL tools such as Informatica, SSIS, Matillion, Talend, etc.
• Data warehouses, Data Lakes, and other data products such as Snowflake, Databricks, etc.
• Finance/Fintech applications, systems, processes and best practices

QUALIFICATIONS

• 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 management solutions.
• Experience as Data/Business Intelligence Power User and Data Consumer required.
• 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.
• Advanced level knowledge of data manipulation languages and tools such as Python, Alteryx etc. preferred.
• Advanced knowledge of multiple business intelligence and data discovery tool such as Tableau, Alteryx or Power BI required.
• Understanding of Cloud Computing required.
• Conversant with Machine Learning, Artificial Intelligence concepts, tools and technologies.
• Understanding of data engineering vocabulary and data architecture. Includes experience working with Azure, DataOps, JIRA or other Agile development team tools required.
• Ability to plan, organize, schedule, and implement projects in accordance with established project management methodologies required.

Role and Responsibilities:

• Responsible for identifying opportunities for improving Business Intelligence Solutions
• Works on complex projects/teams and acts as a mentor and lead to other Analysts
• Lead liaison between business units and IT departments to translate business needs and objectives into Business Information solutions
• Create user stories and write acceptance criteria
• Identify Data Sources, calculated measures, and other transformations (lookups)
• Establish processes and automation for the enterprise-grade Data & BI platform
• Develop source to target mapping documentation
• Deliver Business Requirements for the “consumption layer” (Datamart, etc.) and Artificial Intelligence capability build out initiatives
• Serve as a lead for Data Q&A – liaison between business, developers, and other technical teams
• Provide data and analytics support (i.e., SQL queries, Alteryx workflows, Tableau, PowerBI reports and dashboards)
• Perform functional testing and data validation
• Develop and execute testing plans, scenarios and validate data accuracy
• Test data services (data pipelines, APIs) that feed downstream requirements (Dashboards, Models, etc.) to ensure that the data transferred correctly to the client application tools
• Liaison with Data Governance team regarding the data catalog
• Lead and participate in user acceptance testing (UAT)
• Ensure BECU Security, Governance, Enterprise Architecture guidance and protocols are adhered
• Communicate progress, risks, and issues to the project team

Outcomes:

Following are some of the key deliverables expected from this role: 

• 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 Data & BI leadership