Qualifications: Bachelors in Computer Science or Information Systems or 2+ years' experience with corporate data management systems in high-compliance contextsData management related certifications (e.g., CDMP certification) is a plusAbility to read/write SQL queriesHands on experience in PythonExperience working in a Big Data environment, dealing with large diverse data setsDemonstrates knowledge of structured testing methodology, with a proven ability to break down business requirements/functional/non-functional requirements into high and detailed test cases and test scenarios.Strong communication / organizational skills, analytical ability, and attention to detail Job Description:
A. Does (The tasks / responsibilities that the role performs to address requirements in Key Result Areas)
Work with business subject matter experts and data developers to create data testing strategiesDevelop automated tests for data assetsDesign, monitor and maintain data quality reports, KPIs & trends for the internal data systemsCreate data quality test plans and test casesExecute and automate data quality test cases, and perform bug trackingHelp create and implement data quality processes and requirementsAnalyze large and complex data for quality issues relating to uniqueness, completeness, validity, consistency, timeliness, integrity, and accuracyCollaborate with data engineers, application developers, business owners, business subject matter experts, and data operations team to ensure the accuracy of production data pipielne designs and implementationsSupport the development and implementation of data quality management policies and best practices for improving the overall health of enterprise dataShare Data Quality knowledge and best practices with team members and others throughout the organizationMaintain and apply a working knowledge of industry best practices, testing tools, and techniques
B. Displays (The Knowledge, Skills, and Behaviors indicating how tasks / responsibilities will be performed)
Outstanding interpersonal and communication skills; ability to communicate effectively with technical and non-technical audiencesStrong knowledge of data governance frameworks and principlesStrong knowledge of internal auditing methodologiesResult oriented, willing to commit to a direction and drive operations to completionAble to manage adversity and challenging situationsAble to develop cooperative and constructive working relationshipsAble to handle complaints, settle disputes and resolve conflicts and negotiate with othersHighly developed skills in priority setting and alignment of project priorities with strategyAble to breakdown complex problems and projects into manageable goalsAble to get the root cause of complex issues and develop sound and timely resolutionsAbility to retain strategic direction in a rapidly evolving company cultureAttention to detail C. Delivers (The specific outputs / tangible results produced by the role; resources responsible for)Write data quality test plans and routinesDevelop and maintain data quality reports, KPIs, and trendsRaises data quality issues ticket to the data operations team and clears open data quality issues once remediation is applied KPIsData quality metricsData quality ticket closure rateData quality enablement and empowerment