Job Description

Position Title: Data Quality Assurance Analyst 3 Must-Have Skills ⨀ Strong SQL. ⨀ Database testing. ⨀ Hadoop hive. Job Description Responsibilities • Perform data analysis on data mapping and functional design documents to understand ETL processing • Validate data landed from source to target is correct • Understand source to target mappings • Understand business rules to meet user requirements • Profile data • Work with workstream leads and developers as needed • Create and execute test cases • Report and retest defects • Understand and Interpret logical design document and data model diagrams to understand requirements. • Effectively communicate issues and raise concerns to workstream leads • Obtain and maintain a working knowledge of customers data flows and business models • Effectively communicate project status to workstream leads • Manage and control changes in project scope while communicating the impact on workstream leads. • Proactively work to identify, communicate and resolve project issues and risks that interfere with project execution or success • Work effectively on multiple assignments, activities or projects • Manage individual workload and assist other team members as needed • Help to identify, isolate, and communicate data problems within environments • Ability to work individually and within groups • Ensure appropriate project controls are met Qualifications • 3+ years of relevant experience in a data warehousing role • 3+ years of experience with relevant software, including Microsoft Office applications, MS Project, Visio and data modeling tools • 5+ years of quality assurance experience • 5+ years of quality assurance methodologies • Ability to query large data sets using SQL or big data technologies • Experience analyzing data • Experience with data profiling • Experience in translating business requirements into conceptual and logical models • Strong analytical and problem-solving skills • Good background working with data schemas • Excellent oral and written communication skills • Excellent visual information skills (e.g. data-oriented use cases) • Experience with agile (Scrum and Kanban) • Experience with data movement tools such as Informatica • Bachelor's degree, or work equivalent, in data sc