Sr. Business Intelligence Analyst
1 week ago
Job Description
Role: Sr. Business Intelligence Analyst
Location: Seattle, WA/Onsite
Employment Type: Longterm Contract
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
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