Top Data & Analytics Jobs

Designs and evolves enterprise data architecture across master data governance, MDM, data warehousing, and analytics. The role establishes governance policies, stewardship models, data quality metrics, golden-record strategies, integration patterns, data lineage, and warehouse models. It supports SQL Server and Microsoft Fabric platforms, integrates ERP, CPQ, CRM, and other business systems, advises on tooling and architecture decisions, and collaborates with business and technical stakeholders across a multi-site manufacturing organization.

Build and maintain scalable data infrastructure, pipelines, warehouses, and models on cloud platforms, primarily GCP. Develop batch and real-time ETL/ELT workflows using Python, SQL, and Airflow-based tools; implement data quality, governance, metadata, lineage, CI/CD, and automation. Support production machine learning environments, optimize pipeline performance, collaborate with architects and analytics teams, lead solution delivery, and mentor data engineers.

Develop and maintain data quality standards, documentation, automated monitoring, and testing across Milan’s data platform. Investigate data issues, perform root cause analysis, collaborate with data engineers and business intelligence teams on remediation, and recommend governance and pipeline improvements. Communicate quality risks and findings to technical and business stakeholders while promoting organization-wide data quality practices.

Lead the global Master Data Management strategy across a complex manufacturing organization. Establish governance councils, data ownership models, standards, stewardship processes, quality controls, and enterprise master data frameworks. Govern product, material, customer, vendor, BOM, routing, and manufacturing data while integrating ERP, MES, PLM, CRM, and analytics platforms. Advise senior leadership, lead global transformation initiatives, develop data quality metrics, drive stakeholder adoption, and manage approximately 35% international and domestic travel.

Identify, design, and implement automation and reporting solutions to streamline processes, reduce manual work, and support AI-enabled tools. Build reports, dashboards, data workflows, and notifications; perform process mapping, data validation, and stakeholder requirements gathering while collaborating with cross-functional teams.

Support users with business intelligence and OLAP tools for database queries, data extraction, and report generation. Review and optimize queries, help design and document systems, monitor and upgrade enterprise reporting tools, ensure front-end interoperability and security, and maintain metadata and production systems.

Architect, build, and evolve AWS-based data platforms and pipelines handling large, complex datasets. Optimize data solutions for scalability, reliability, performance, and cost efficiency. Collaborate with engineering and product teams, make architectural decisions, establish best practices, provide technical mentorship, and support modernization toward intelligent data architectures. The role involves Python, SQL, Databricks, Kubernetes, automation, DevOps, and agentic AI technologies.

Process and analyze LiDAR datasets and GIS data; learn and use new geospatial software tools; ensure data quality and meet deadlines; communicate with team; complete training provided with potential for full- or part-time placement.

Design, develop, test, and operate large-scale BI solutions (reports, dashboards, data models) using Power BI and Azure Synapse. Gather requirements, translate business needs into data models, tune performance, collaborate with BI architects on POCs, and maintain stakeholder communication.

Lead and grow customer analytics practice in Communications, Media & Technology. Define strategies, develop thought leadership, and communicate analytics value. Lead and deliver large-scale, complex client engagements, focusing on customer analytics delivery, CRM modeling, reporting, and predictive analytics.