Top Hybrid Data & Analytics Jobs

The Business Intelligence & Data Analyst will manage Power BI, improve data pipelines, analyze trader behavior, and provide insights for cross-functional teams.

The Graduate Growth Operations Associate will enhance user engagement through data analysis, process improvement, and managing engagement initiatives to boost user counts.

As a Data Analyst, you will reconcile and normalize customer data, support onboarding processes, and improve database performance, directly impacting business operations.

As a Quantitative Researcher, apply economic and statistical models to large-scale data, collaborating to solve quantitative challenges across industries.

Lead data strategy and delivery for large-scale client transformations. Design modern data architectures, oversee analytics and ML initiatives, support sales as SME, grow client relationships, manage teams and resource strategies, and foster a collaborative culture focused on quality and business outcomes.

Design and run ETL pipelines to extract, transform, validate, and load agency data from diverse source systems into AMS360 via APIs and direct loads. Build mapping and transformation logic, produce ID mapping tables, validate data quality, and collaborate with AMS360 admins to resolve issues throughout migrations.

Design, build, and maintain scalable data pipelines and tenant-aware APIs to ingest and transform data from varied sources. Work with event-driven and batch architectures, implement authentication and integration patterns, ensure observability/monitoring, optimize data flows for cost and performance, and collaborate with product, infrastructure, and engineering teams to onboard and maintain data sources at scale.

The GTM Strategy and Planning Analyst will build scalable tools and infrastructure for GTM operations, conduct performance diagnostics, and innovate processes for efficiency in revenue operations.

Design, build, and optimize cross-domain ETL pipelines and data platforms for classified intelligence applications. Architect large relational databases, manage Elasticsearch/OpenSearch clusters, implement CI/CD and IaC, and mentor teams while ensuring secure, low-latency, high-availability data delivery across Unclassified, Secret, and Top Secret environments.

Lead development of large-scale data analysis and validation workflows for autonomous driving ML. Design metrics, build datasets, run statistical error and regression analyses, collaborate with ML and software teams, and maintain AWS/Kubernetes orchestration for large-scale evaluation.