Job Description

Notice Period 0 to 30 days. Responsibilities In this role you will be responsible for day-to-day operational execution of data quality priorities including the management of data quality rules, anomaly detection and validation, coordination of issue resolution processes, and capturing metrics Collaborate with data subject matter experts both on the business and technical side to translate business requirements into data quality requirements, validate data quality results, and coordinate issue resolution and escalation Partner with technical teams to prioritize data sets for ingestion into data quality tooling and ensure data quality profiling and monitoring setup per defined best practices Within data quality tooling, review out-of-box data quality profiling results, author and execute reusable custom data quality rules Capture data-driven metrics to demonstrate business value and bring visibility to improvement opportunities Pursue data quality integration and automation opportunities at data ingestion points, as well as within internal applications and dashboards Contribute to the maturity of the organization\'s data quality and governance standards by continually improving best practices, and contributing to methods and strategies to systematically advance data platforms and capabilities As new projects are instantiated, influence and advocate for proactively achieving fit-for-purpose data quality and strategic data quality program objectives Engage with stakeholders and data stewards through knowledge sharing and lessons learned, training, and education Investigate industry and trends within data quality and the broader data management discipline Qualifications 5+ years of experience working within the data management discipline with data quality experience including data profiling, rule development and automation, data quality dimension standardization, monitoring, workflow creation, and issue remediation 2+ years of experience with Collibra Data Quality (preferred) or similar tooling such as Informatica, Talend, etc. The ability to work directly with data in databases and expertise in using SQL to extract information from both relational and non-relational database systems. Experience in Python programming for data analysis and automation is a plus Good research, analytic, problem-solving, and presentation skills Excellent written and verbal communication skills in English Familiar with the agile development life cycle framework and related tooling such as Jira or Rally Work effectively as a part of an international team as well as a strong capacity to work independently with accountability, adaptability, and a sense of urgency Thrive in complex, fast paced environments in which ambiguity may exist Value the free exchange of ideas, solicit critical feedback to improve work, and excel at finding the best solution to a challenge Very strong character, integrity, diplomacy, and respect for others

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