Measures and monitors data quality, designs, and executes remediation plans, maintains, and supports applicable data management standards
Implements and supports data quality requirements as designed by the Data Owner, including the business rules and movement controls
Performs user acceptance testing (with applicable consumers) and reviews results with Data Owner for approval
Reviews data quality issues, perform analysis, recommend fixes, and/or report timely any breaches of thresholds to Data Owners, Data Consumers, and escalate as needed to Enterprise Data Management (EDM)
Manages and resolves or remediates data issues identified by Data Owners and Data Consumers
Manages, executes and tracks data quality remediation plans in coordination with all stakeholders
Tracks and reports data quality statistics for data quality for stewarded application(s), warehouse or mart (including developing evidence of compliance with Data standards)
Collects and updates business metadata and references data for the data they are assigned to
Translates business rules into data quality rules and produces data controls (in conjunction with the Data Custodians)
Ensures data for all Enterprise Critical Data Elements (ECDEs) is provisioned in an appropriate authoritative source (in conjunction with Data Custodians)
Supports applications and platforms to enable effective sharing of data from authoritative data sources
Provides training and data assistance as needed
May act as a resource to associates with less experience

Requirements

Bachelor’s degree in Business Management, Information Systems, or related field and seven (7) years of Business Analysis, Systems Analysis, or related experience
Or High School Diploma or GED and eleven (11) years of Business Analysis, Systems Analysis, or related experience
Master’s degree in Business, Science, or related field (preferred)
Ability to learn additional systems as needed
Ability to translate business needs into technical solutions
Ability to work under limited guidance
Administrative ability and experience with communications with multiple stakeholders.
Advanced skills in Data Analytics, Data Engineering, and Data Modeling
Capacity for day-to-day, hands-on execution
Demonstrated ability to lead a team including an Agile team.
Demonstrated knowledge and understanding of the applicable tools (e.g., DG, DQ, Metadata tool)
Experience as a Scrum Master or Product Owner.
Familiarity with data quality issues and Exact, Transform, Load (ETL) processes
Presentation ability with multiple visualization tools.
Skilled with advanced data management techniques and tooling that can leverage Big Data environment.
Solid written, verbal, interpersonal, analytical, and application development skills
Strong ability to review and analyze data, and identify and resolve problems
Strong Banking Data Domain expertise including hands on experience and analysis of lending, deposit, and investment data.
Strong project management skills including leading projects and independent data related work streams.
Strong research and problem determination and solution skills
Strong skills in data analysis - developing macros, scripts, queries to calculate data quality
Understanding of data architecture practices

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data AnalyticsData EngineeringData ModelingData QualityExactTransformLoad (ETL)Data Management TechniquesData ArchitectureMacros

Soft Skills

LeadershipCommunicationAnalytical SkillsProblem SolvingPresentation SkillsInterpersonal SkillsProject ManagementAdministrative AbilityCapacity for ExecutionAbility to Work Under Limited Guidance