Sr. Business Intelligence Analyst

1 week ago


Seattle, Washington, United States VeriiPro Full time

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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