BECU Sr Data Quality Analyst in Seattle, Washington
Are you interested in working for a purpose-driven organization that is owned by, and accountable to, it’s members—not it’s shareholders? Where you can collaborate with teams that help deliver products and services to over 1.3 million members? Then read on—BECU might just be the right fit for you.
BECU is a national leader among financial institutions. With over $29 billion in assets, we’re among the largest credit unions in the nation. We’ve been in business for over 86 years, serving the financial well-being of our community and helping our members achieve life-long financial goals.
Here’s what else sets us apart:
Our members-first ethos.
Unique benefits, perks and workplace culture.
Philanthropy and community involvement.
Remote, flexible and hybrid work opportunities.
To learn more visit becu.org/careers.
The Sr Data Quality Analyst proactively executes the standards, guidelines, and processes of the Data Governance Office (DGO) to ensure the quality of BECU data. The role assists with building data profiling methods and creates enterprise data asset profiles to extract insights about the current state of data quality. Based on the profiling insights and established business rules, the Sr Analyst assists with building data quality metrics, implementing on-going monitoring, and defining requirements to improve data quality. The Sr Analyst also actively administers functionality of data governance and data quality tools for BECU. This requires strong partnership with vendors and the Technology department to ensure the tools are configured to meet business needs. This role will participate on business area projects to assist with the implementation of data governance controls, or train data stewards on a self-service approach.
Perform all responsibilities in accordance with BECU Competencies, compliance, regulatory and Information Protection requirements.
Create data profiling methods that can be applied to variety of data structures and be leveraged by data analysts, stewards and custodians for self-service data profiling.
Build data profiles for enterprise data assets as part of DGO oversight activities or assigned projects. Identify insights from the profiles and review them with stakeholders.
Creating and maintaining data quality metrics for enterprise data assets based on the business rules coordinated by the Data Governance team.
Create and maintain data quality monitoring of identified data quality metrics for enterprise data assets. Work closely with data stewards to identify the best frequency for measuring quality.
Assist with maintaining a centralized DGO dashboard summarizing the status of data governance and data quality for enterprise data assets.
Design data cleansing procedures and scripts in partnerships with business units functional areas, and the Technology department to ensure that data quality issues are implemented in source systems.
Demonstrate the DGO operating model to data stewards and data community to enable them to implement data quality practices in a self-service manner.
Actively administer functionality of data governance and data quality tools. Deliver training and answer questions from data stewards about tool functionality and usage.
Partner with vendors and the Technology department to build source system integrations, ensure timely implementation of patches and upgrades, coordinate system and user-acceptance testing, and drive the resolution of system issues for DGO-owned platforms.
Participate in designing processes and procedures required to implement the standards and guidelines.
Perform additional duties, as assigned.
Bachelor’s degree in MIS, Computer Science, or equivalent required. Advanced degree preferred.
Minimum of five years of data quality experience and/or data management. Data management experience must demonstrate application of data quality principles. Experience in the financial services industry preferred.
Minimum of three years of experience using end user data flow and reporting tools such as SAS, Tableau, Power BI, SSRS, and Alteryx required.
Minimum of three years utilizing SQL and/or Python to query, profile, and transform data across structured and semi-structured datasets required.
One year of building custom data stores in support of data curation or reporting, SQL Server and Azure data stores preferred.
One year of data quality tool (e.g., Informatica Data Quality) experience preferred.
Strong analytical, conceptual and problem solving skills with a proven track record in gathering and documenting comprehensive business requirements in a highly regulated environment.
Familiarity with developing and performing data manipulation, data cleansing, data analysis, and data anomalies detection preferred.
Effective verbal and written communication skills to effectively communicate and provide customer service required.
Demonstrated experience with project management practices.
Full-time hours required, with additional hours as necessary.
BECU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.
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