Top Data & Analytics Jobs

Lead governance and optimization of speech analytics and Qualtrics CX capabilities, integrate survey, speech, and operational data, deliver actionable customer insight narratives, analyze end-to-end journeys to identify friction and drive cross-functional initiatives to improve customer experience and reduce expense.

The Data Governance Engineer focuses on unstructured data governance, metadata cataloging, data quality management, and collaboration with stakeholders to enhance data compliance and discoverability.

Design and operate metadata cataloging, lineage harvesting, governance workflows, and data quality for unstructured data. Configure and maintain Atlan/Anomalo/Unity Catalog, build automated checks and prototypes using Python/SQL/Databricks/Streamlit, collaborate with stakeholders, document standards, and drive governance tool adoption.

Design and implement data management strategies, creating scalable data solutions, and collaborating with teams to address business challenges and ensure data integrity.

Build and maintain dbt data models and pipelines, implement real-time ingestion with PySpark and AWS Glue, and process distributed data in Databricks. Apply software engineering practices, review Git pull requests, partner with data scientists and stakeholders, translate requirements into Jira stories, and support data governance, quality, integrations, and deployment across the enterprise.

The Data Governance Engineer advances data governance initiatives, focuses on metadata cataloging, lineage harvesting, and governance workflows, and collaborates on data quality and compliance.

The Data Governance Analyst will design and implement data governance practices, maintain metadata, and enhance data quality and compliance, collaborating with teams across the enterprise.

Design and execute enterprise data architecture strategy, including logical, physical, operational, and analytical data models. Establish data management, governance, quality, privacy, and security standards while supporting scalable cloud data platforms. Collaborate with product owners, architects, engineers, data scientists, and business teams to translate requirements into data solutions. Lead modernization, legacy simplification, performance optimization, integration, streaming, and organizational change initiatives across insurance and financial services data environments.

Lead development and operationalization of enterprise data risk frameworks, KRIs/KPIs, and risk registers. Produce dashboards and reporting, track remediation, partner with data, technology, risk, and compliance teams, and support data protection, governance, and adoption activities across cloud data environments.

Lead production of operational intelligence by integrating data from ServiceNow, Amazon Connect, Jira and other platforms. Build KPI frameworks, executive dashboards, and reports to drive prioritization, adoption, and measurable outcomes. Translate complex operational data into actionable recommendations, advance AI/automation and knowledge management, and partner cross-functionally to improve release, change, and field technology performance.