Data Governance Engineer

5 days ago

Springfield MA, United States LatentView Analytics Full time

LatentView Analytics is one of the world's largest and fastest-growing digital analytics firms. We help companies drive digital transformation by helping them combine digital and traditional data to gain a competitive advantage. LatentView provides a 360-degree view of the digital consumer, enabling companies to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates, and optimize investment decisions. Role: Data Engineer – Strong in data governance Location: Springfield, Missouri (Onsite is Must) Authorized to work in the United States No Need of Visa sponsorship Key Responsibilities Data Quality Execution: Design, develop, and maintain data quality checks and rules (e.g., using dbt) on the Snowflake platform to identify and address inconsistencies in key datasets. Metric Analysis Support: Conduct detailed data analysis to support the formal definition, rationalization, and documentation of consistent KPIs and metrics across various business units. Data Quality Reporting: Create, maintain, and present data quality dashboards and reports to expand visibility into data health and reconciliation status for business users. Discrepancy Resolution: Work with Data Engineering and business data stewards to investigate, troubleshoot, and resolve data mismatches, particularly those arising during the migration from legacy systems (IER AS400). Governance Documentation: Assist in the documentation and communication of data governance policies, standards, and data lineage to promote a culture of data accuracy and trust. Tool Utilization: Act as a hands-on user of the data catalog (Alation) and BI tools (Domo) to help catalog reports, trace metric lineage, and ensure adherence to enterprise definitions. Required Experience and Skills: 5+ years of hands-on experience in a data quality, data governance, or data analytics role. Proven technical proficiency in SQL and experience with a cloud data warehouse (e.g., Snowflake). Direct experience implementing or supporting data quality tests using tools like dbt. Strong analytical and problem-solving skills with an ability to identify root causes of data inconsistencies. Experience in creating data dashboards and reports for business consumption. Excellent collaboration and communication skills for working with technical and non-technical teams. Familiarity with metric standardization concepts and the challenge of decentralized reporting. EEO Statement "At LatentView Analytics LLC, we value a diverse, inclusive workforce and we provide equal employment opportunities for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual's race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you are unable to submit your application because of incompatible assistive technology or a disability, please contact us at usrec@latentview.com. LatentView Analytics LLC will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law."

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