Top Data & Analytics Jobs

The Data Quality Analyst will validate data accuracy, develop automated testing frameworks, analyze discrepancies, and collaborate on data governance with stakeholders.

Analyze user behavior, feature adoption, and retention across a B2B SaaS platform to generate evidence-based product insights. Track journeys, run cohort and funnel analyses, support A/B testing, define product KPIs, ensure data accuracy, and provide structured recommendations to inform roadmap and improve adoption and retention.

Technical staff-level data engineer who sets direction for ingestion, storage, and search systems. Designs scalable, reliable pipelines and storage, establishes architecture and observability standards, mentors engineers, leads complex multi-quarter initiatives, participates in on-call, and partners with AI/ML and product teams to deliver queryable, high-volume telemetry for analytics and detection.

Manage and mentor a Risk Analytics team while contributing ~20% hands-on work. Define analytics roadmap, build dashboards and queries, monitor KPIs, analyze transaction data to detect fraud/credit risk, recommend controls, automate processes, and collaborate with Risk Data Science and Ops.

As an Analytics Engineer at Axios, you'll design and maintain data products and visualizations, improving decision-making through actionable insights.

The Research Engineer will advance decentralized AI by optimizing distributed training, developing open-source tools, publishing research, and enhancing platform capabilities.

Design and document enterprise big-data and data warehouse architectures. Collaborate with stakeholders, perform data profiling and requirement analysis, guide Spark ingestion development, recommend cloud data service patterns (Azure/AWS), and lead data governance, stewardship and quality best practices to support analytics and ML use cases.

Lead investment data strategy and governance, translate business requirements into data solutions, drive roadmaps, manage stakeholder communications, coordinate UAT and releases, mentor team members, and improve data quality, access, and decision-making across investment data domains.

Lead master data governance for product/material domains across Agile PLM and SAP S/4HANA/SAP MDG. Define governance, document requirements and processes, support MDG design and integrations, drive data migration/cleansing, perform impact analysis, and champion data quality across supply chain, manufacturing, and IT stakeholders.

As a Senior Data Engineer I, you will build data capabilities for product expansion, integrate external APIs, design robust data pipelines, and collaborate with various teams to enhance systems and practices.