Prosperity Bank · 4 weeks ago
Senior Data Quality Analyst (Full Time) - Sugar Land, East Lawn
SUGAR LAND-EAST LAWN, Sugar Land, TX, US
Full-time
Onsite
Senior Level
7+ years expProsperity Bank is a financial institution seeking a Senior Data Quality Analyst to ensure the quality and integrity of enterprise data. This role involves leading data quality management, collaborating with various teams to resolve discrepancies, and developing frameworks for managing data quality across the organization.
BankingFinancial Services
Responsibilities
Leading and owning data quality management across the Bank, and maturing a culture that embraces the value of data quality
Reviewing and ensuring accuracy and integrity of data from multiple data sources by using SQL queries, and comparing data to identify discrepancies
Comparing transformed data to original data to ensure all pertinent information is present
Collaborating with business and IT team members to resolve data discrepancies
Assisting data stewards in standing up data quality and issue management capability within their business /functional area
Operationalizing data quality management within each business or functional area
Managing communication and change management with stakeholders directly and indirectly impacted by data quality procedures
Developing KPIs and establishing an operational framework for actively managing data quality
Supporting operational requirements across large transformational projects
Identifying data gaps, measuring, and tracking improvements while working collaboratively with key business stakeholders
Challenging existing data quality processes, technologies, and systems to continuously seek opportunities for enhancement to achieve business/project objectives and drive greater efficiencies for the business
The key responsibility of this role is to promote data quality through a comprehensive data quality framework aligned to the organization’s overall data governance strategy, ensuring that data is accurate, reliable, complete, and fit for purpose. Primarily responsible for data profiling based on the various business rules; profiles source data and determines source data and metadata characteristics based on the requirement specific to ingestion and processing of data
Creates data quality rules based on the business rules and requirements by engaging with key stakeholders and filtering unique to data use and business decision making
Owns data quality design, develops, and delivers data quality, data profile, and metadata best practices for the enterprise
Responsible to identify and define logic to ensure that the data anomalies are detected and contained within established data quality thresholds
Identifies patterns, trends, and data inconsistencies; draws conclusions and provides recommendations in the form of remediation, corrective, and preventative actions
Responsible for analyzing various data sets to detect, resolve, and validate the life cycle of data quality issues
Implements data quality processes including conversion, parsing, analysis, standardization, and enrichment at point of entry and batch modes
Responsible for the development of data quality dashboards and data quality improvement life cycle
Performs root-cause analysis of data discrepancies across disparate systems and develops action plans to resolve data quality issues
Develops data quality dashboards and data quality improvement life cycle
Responsible for process modeling by understanding and documenting the lineage of data as it moves and is transformed through various systems
Maintains a broad knowledge of new data management technology tools and trends and applies that knowledge to architecture designs
Works collaboratively across the company to drive adoption of technical standards, design principles and architecture patterns in information management functional areas
Monitors data quality, and analytical systems usage, and takes corrective and enhancement actions as necessary
Influences and communicates effectively with non-technical audiences including senior business management
Designs and executes data quality audits
Qualification
Required
Bachelor's degree in Business, Finance, Marketing, Computer Science, or related field
Familiarity with data management principles and practices in Data Management Body of Knowledge, 2nd Edition (DMBOK2)
Familiarity with data management frameworks such as DCAM
Knowledge of standards, and best practices prevalent in data governance, data management, data quality, and data privacy
Minimum 7 years of experience in end-to-end data quality management, data lineage, metadata management, issue management and resolution, master data management (MDM), data integration, ETL, data warehouses, cloud technologies and repositories
Extensive experience with data discovery, profiling, cleansing and standardization, data quality rules management, developing reusable data quality validation, data quality monitoring and reporting
Extensive experience writing moderately complex SQL queries; hands-on data analysis of databases and files using Excel and SQL, and proficiency with programming languages such as SAS etc
Strong experience with Excel, ETL tools and related technologies
Experience in designing, implementing and documenting data quality procedures, metrics, KPIs, dashboards, and thresholds
Experience in providing analytic support by coordinating data extraction from various databases and data interpretation
In-depth understanding of data quality management technology landscape, processes, and design principles
Experience in designing, developing, and delivering data quality, data profile, and metadata best practices for the enterprise
Experience with any of the data quality tools to query and manipulate data in varying file formats by using tools such as IDQ, TAMR, Infosphere, Alation or others
Experience with data governance and catalog solutions, systems integrations, and master data management solutions
Preferred
Experience with data modeling techniques, logical design, and physical design and best practices
Proven experience at a premier audit or consulting firm and financial services experience is strongly preferred
Experience gathering and analyzing business data requirements, including for regulatory and compliance purposes
Experience in a complex regulated industry environment, with actual regulatory experience preferred
Ability to successfully bring together and drive cooperation across diverse teams with potentially conflicting goals and objectives
Experimental mindset to drive innovation amidst uncertainty
Exposure to the following a plus: Hadoop, Teradata, Tableau
Company
Prosperity Bank
Prosperity Bank offers a variety of traditional loan and deposit products to its customers.
1001-5000 employees
Funding
Current Stage
Late StageLeadership Team
Aaron Shelby
DFW Area President
Mays Davenport
Director of Corporate Strategy
Recent News
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