Top Data & Analytics Jobs

The Senior Mid-Office Analyst manages the trade reconciliation process, ensures data integrity, resolves discrepancies, and collaborates with trading and engineering teams.

Design and optimize data pipelines for web scraping and processing data. Collaborate with ML engineers and develop APIs while preparing data for analysis.

The On Site Generation Analyst supports the Energy Strategy Team through data collection, cost analysis, and market research, driving decisions on energy procurement and capital planning.

Design, build, and maintain scalable data models, ETL/streaming pipelines, and cloud-native data platforms. Ensure data quality, governance, performance tuning, and enable ML workflows. Lead cross-functional teams, mentor engineers, and implement CI/CD, monitoring, and cost-optimized solutions to support analytics and real-time inference.

Own and operate the unified data platform and data lake powering fraud detection. Design, build, and run low-latency batch and streaming ingestion pipelines, ensure data quality/lineage/observability, support embedding/vector pipelines for generative AI, and manage deployment and CI/CD on Kubernetes while partnering with data science and product teams.

Provide data analytics support for construction scheduling and field operations: become SME on related datasets, build and maintain dashboards, validate and cleanse data, recommend process and tooling improvements, collaborate with business leaders and technology partners to deliver insights that inform operational decisions.

Lead design, implementation, and governance of an AWS Lakehouse platform using Medallion architecture. Build and optimize batch and real-time pipelines, enforce data quality and privacy (PII tokenization, Lake Formation), drive DataOps/CI-CD, support Customer 360/MDM, mentor a small team, and serve as incident commander for platform operations.

The Senior Data Engineer will design and manage data pipelines for massive datasets, ensuring quality, cost management, and effective data operations. Responsibilities include overseeing data flows, monitoring data quality, and managing vendor partnerships.

The Data Architect will develop enterprise data strategies, oversee data architecture, ensure data quality, and collaborate with project managers on BI applications.

Oversee release management processes, ensure deliverables meet milestones, and adhere to change management protocols in a healthcare domain.