Top Data & Analytics Jobs

The Credit Risk Analyst will produce reports and analytics for credit risk monitoring and evaluation, automate reporting processes, and support regulatory compliance.

Provide analytics, reporting, and administrative support across operations: build dashboards and KPIs, analyze data to recommend improvements, maintain CRM/ERP and document systems, support project coordination, proposals, engineering change tracking, SOPs, and shipping/records in a precision manufacturing environment.

Lead a small analytics team to produce data-driven insights for marketing and media optimization. Mine proprietary datasets, apply statistical methods, forecast KPI impacts, monitor business metrics, and act as liaison between business and technical teams to drive profitable media and client growth.

Design and implement large-scale GCP-based data platforms and ETL using PySpark/Spark, BigQuery, Dataproc, Composer/Airflow. Process and analyze large datasets, write SQL, collaborate on BI delivery, and work in a mature Agile team.

Lead enterprise data architecture and governance, design data integration and warehouse solutions, establish standards for modeling/metadata/security, evaluate emerging technologies, collaborate with stakeholders, mentor staff, and ensure scalable, high-performance analytical environments.

Run and maintain social listening scans, translate conversation volume, sentiment, and themes into actionable insights, partner with Strategy and Creative to inform briefs and ideation, and report findings that guide responsive content and campaigns.

Lead design and delivery of scalable data platforms and pipelines on Google Cloud. Build and review Python/SQL code, drive data architecture using BigQuery and GCP tooling, own ingestion/transformation/orchestration, lead client technical discussions, prototype solutions, mentor engineers, and implement IaC, CI/CD, observability, and governance.

Lead technical design and delivery of enterprise data platform solutions using AWS S3 and Snowflake. Build scalable ETL/ELT and CDC pipelines, establish engineering standards, mentor data engineering teams, ensure data quality, governance, security, and operational readiness, and partner with stakeholders to deliver curated data products for analytics and AI.

Analyze high-scale payment funnel and transactional data to identify conversion bottlenecks, design and evaluate A/B tests, define metrics and measurement frameworks, monitor product performance via dashboards, and translate insights into prioritized product recommendations in partnership with Product and Engineering.

Design, build, and maintain petabyte-scale batch and streaming data pipelines and core data infrastructure for robotics foundation model training. Own data models, storage, ingestion, transformation, and orchestration. Standardize pipelines across teleoperation and simulation datasets and collaborate with cross-functional team to support Physical AI development.