IDQ - Informatica Data quality + SQL - Data Analyst

Job Description

Roles and Responsibilities IDQ - Informatica Data quality + SQL - Data Analyst ESSENTIAL DUTIES: Demonstrate strong information management, data quality, data analytics, and architecture skills including a strong working knowledge of data infrastructure and various technology reporting platforms. Provide leadership, motivation and establish a teamwork environment for the cross functional data quality team and processes; and advises, influences and coaches other team members in the development and achievement of data quality program goals. Play a key role in leading the development, documentation, and implementation of data quality procedures and standards to support enterprise data management (EDM). Work with business partners, data management stakeholders and the IT departments to define and document data quality rules, targets, and standards. Establish change controls over quality standards and work with functional and IT partners to enforce within organization. Work with IT resources to turn business quality rules into technical requirements and manage / coordinate business testing and certification activities with data stewards and owners. Partner with data stewards and owners to implement, enhance, and manage governance dashboarding capability on quality metrics. Define user experience standards and exception reporting capability. Partner with IT to implement data quality mart and data quality trend reporting. Implement and manage training and education in the data quality space with users to ensure use and adoption of data quality tools and processes to improve quality of data. Facilitate and provide data quality subject matter expertise within the organization working groups focused on data quality improvement efforts. Oversee the development and implementation of detailed project and work plans for data quality monitoring and reporting efforts within the organization. Coordinate the planning, documenting and execution activities for the projects; along with tasks, budgets, timelines, and project staffing to successfully complete projects on a timely basis and within budget. Develop documentation to support the project planning and implementation process. Lead and provide support to project teams by facilitating/attending project meetings, documenting minutes and action items, responding to assigned tasks when due. Provide recommendations for measuring and improving the effectiveness and efficiency of operational control processes, and data compliance activities. Support proactive profiling, data lineage reviewing, performing root cause triage, and support identifying appropriate owners for fixing root causes of the issues. Develop and refine high quality monthly and quarterly metrics reporting and publishing capability demonstrating program activities and communication to stakeholders & senior leadership.QUALIFICATIONS: A Bachelor s degree with a minimum of 4 years of experience in data quality/governance-related work or similar. 4 years of experience in a technology organization/Saas subscription-based model preferred. Strong Tableau Visualization and SQL and relational database/data warehouse (SAP, Oracle, SQL Server) skills, data analysis experience is required to be successful in this role. A techno-functional individual with strong business acumen is required. Experience with data quality tools like Informatica Data Quality, etc. is desired. In-depth experience in Tableau to develop, customize, and enhance dashboards, complex drill down reports is required. Knowledge of industry-leading data quality and issue management tools and practices. Knowledge of data related to government regulatory requirements and emerging trends and issues. Strong knowledge and experience in data-related activities (data quality, data governance, metadata, data management, data standards, data structures, data aggregation, and business requirements). Strong written and verbal communication skills with the ability to speak to varying levels across the organization. Development and championing of cross-functional engagement within data governance and to other business / IT groups. Ability to get to the heart of the problem and make sound and timely decisions to resolve problems. Ability to connect data/metrics to business impact metrics and results.,

Keyskills :
reportingdata governanceroot causemusic makingdata structuresdata analysismicrosoft excelsubject matter expertiseemerging trendsdata standardssqldata analyticsuser experiencedata qualitydata managementproject teamscustomer relationsbusine