Top Data & Analytics Jobs

Design and implement Master Data Management (MDM) solutions using Informatica or Azure platforms. Build MDM repositories, develop workflows for de-duplication and validation, facilitate data loads, and support data governance. Translate business requirements into technical specifications.

Lead enterprise data infrastructure and strategy for a petabyte-scale media company. Own platform architecture (batch and real-time), data warehouse/lakehouse strategy, streaming pipelines, governance and compliance (GDPR/CCPA), and ML/AI platform enablement. Build and lead Data Engineering, Platform, and Analytics Engineering teams and partner with cross-functional leaders to drive data democratization and trusted analytics.

Lead architecture and modernization of Azure-based enterprise data platforms for procurement analytics. Design and build Databricks/Delta Lake solutions, ETL/ELT pipelines, and harmonize ERP data into enterprise models. Define multi-year strategy, establish engineering standards, mentor engineers, evaluate tools, and deliver data products, APIs, and BI support. Influence technical direction and present roadmaps to stakeholders.

Lead architect and hands‑on senior data engineer who designs scalable data platforms and medallion architectures, optimizes ETL/ELT and data modeling, implements CI/CD and IaC, enforces data governance and security, mentors engineers, integrates BI tools, and leads client-facing technical engagements.

Lead end-to-end pricing and discount analysis, build AI-enabled analytics and automation, maintain dashboards and pipelines, drive pricing reviews, detect trends and risks, and support pricing strategy and deal assessment.

Lead ERP and reporting support for manufacturing: analyze requirements, troubleshoot and configure ERP (Dynamics AX/D365 or comparable), develop Power BI and SQL/SSRS reports, manage data integrations, improve processes and controls, and mentor junior analysts to ensure accurate, scalable operational and executive reporting.

Conduct objective research and evaluations on education and public policy; collect and analyze quantitative and qualitative data; conduct interviews and surveys; produce publication-quality reports with graphs and tables; respond to legislative information requests and analyze fiscal impacts of legislation.

Lead and scale a distributed data engineering organization: design and maintain cloud-native data infrastructure, build ETL/ELT pipelines and event streams, ensure data quality and observability, deliver dashboards and analytics tools, partner with product and business stakeholders, and manage analytics project prioritization and team performance.

Partner with Support and Services Delivery leaders to deliver actionable CX analytics. Perform deep-dive analyses on support case drivers, resolution patterns, CSAT trends, and operational efficiency. Build and maintain data models and pipelines (SQL, dbt, Snowflake), create user-facing analytics applications, and enable AI-driven self-service through semantic models and Cortex tools. Drive stakeholder adoption, embed analytics into workflows, and define team standards to improve post-sale customer outcomes.

Develop and maintain Power Platform solutions (Power Apps, Power Automate, Power BI) and SharePoint integrations to analyze data, build dashboards, automate processes, ensure data integrity, support stakeholders, and improve operational efficiency for a government client.