Top Data & Analytics Jobs

Develop and validate market and counterparty credit risk models (VaR, Greeks, PFE, CVA) for Capital Markets. Collaborate with business partners to build cloud-based, ML-enabled analytical solutions, automate processes, communicate results, and own model development from concept through deployment and monitoring.

The Ticketing Insights Analyst II analyzes complex ticketing data to improve operational efficiency and customer experience through automation and data storytelling while collaborating with various teams to drive insights.

Lead enterprise data architecture efforts to design, govern, and operationalize trusted data assets. Define metadata, lineage, quality, and ETL/ELT patterns for data warehouses, lakes, and analytics; partner with engineering, risk, and business teams to ensure regulatory compliance, scalability, and BI/reporting enablement.

Lead end-to-end people analytics: frame problems, source and validate data, design methodologies, build advanced analytics/AI models, deliver executive-ready insights, partner with HR/Finance, and ensure data governance and privacy compliance.

Develop and implement software solutions for automated trading systems, working with quantitative researchers on complex financial challenges.

The Director of Business Development will define, negotiate, and secure partnerships to expand adMarketplace's search and performance advertising across various platforms while ensuring alignment with company goals and operational integration.

Partner with Total Rewards stakeholders to design and execute analytics that evaluate employee wellbeing and benefits program ROI. Combine and validate data from claims, utilization, and other sources, build forecasting and advanced-analytics models, and deliver dashboards and executive summaries. Lead project workstreams, mentor junior analysts, and ensure data quality, compliance, and actionable insights to inform benefits strategy.

The Manager of Regulatory Submissions will lead regulatory strategies and submissions for global authorities, ensuring regulatory alignment with business goals while collaborating with cross-functional teams on medical devices.

Design, build, and productionize batch and streaming ETL/ELT pipelines and ML workflows on Azure Databricks. Implement Unity Catalog data products, MLflow model lifecycle controls, CI/CD for data/ML artifacts, and operational monitoring. Partner with cross-functional teams to modernize legacy workflows into scalable, production-ready solutions.

Designs and owns enterprise data quality platforms and tooling, translating governance requirements into scalable technical architectures. Assesses platforms and integration patterns (batch, event-driven, API), documents architecture decisions, ensures non-functional requirements, and partners with product and platform teams to deliver governed, auditable data quality solutions.

Design, build, and operate scalable data platforms and ETL/ELT pipelines using Python, SQL, Airflow, and AWS. Optimize data warehouses, ensure data quality and governance, implement CI/CD and infrastructure-as-code, and collaborate with cross-functional teams while mentoring engineers.

The Data Specialist role involves analyzing complex data to improve supplier quality and performance using BI, statistical analysis, and machine learning. Responsibilities include maintaining dashboards, developing predictive models, and collaborating with teams to enhance decision-making and operational efficiency.

As a PhD intern, you'll design, develop, and deploy software solutions for automated trading, collaborating with the Quantitative Research team.

As a Senior Quantitative Analyst, you will develop and enhance modeling frameworks, apply quantitative methods, and collaborate to build cloud-based solutions for Capital Markets at Capital One.

As a Quantitative Research Engineer, design, develop, and implement software for automated trading systems using advanced statistical techniques. Collaborate with researchers and prioritize business needs.

Lead design and implementation of high-performance, low-latency data architectures and warehouses. Collaborate with product and enterprise architecture, drive roadmap and governance, create design documents and proofs-of-concept, and ensure data quality, compliance, and alignment with business priorities.

Lead the development and implementation of automation techniques using AI and machine learning to improve life underwriting operations and processes.

Lead data science projects to optimize drug development using AI. Develop models for patient selection and clinical trial evaluations while collaborating with cross-functional teams to drive insights.

The Analytics Lead will leverage data analytics to optimize credit strategies, monitor portfolio performance, and collaborate on credit policy with stakeholders across technical and non-technical teams.

Lead analytical studies to enhance Snap's SMC business, mentor a team of analysts, and develop data-driven strategies to inform growth and sales decisions.

Lead reporting and analytics for a business domain during a multi-year transformation. Own data migration, define business requirements, prioritize reporting roadmap, partner with tech/data teams and vendors, deploy reporting/analytics solutions (including ML-driven automation), measure KPIs, and drive adoption and value realization across cross-functional stakeholders.

Lead reporting and analytics for the finance domain, translate business requirements to product and tech teams, own data migration and roadmap, ensure data quality, enable data-driven automation and ML, coordinate organizational readiness for reporting transition, and manage stakeholder communications to deliver measurable business outcomes.

Design, develop, and deploy software solutions for automated trading systems while collaborating with researchers on technology priorities.

Lead reporting and analytics for a Business Transformation domain, owning data migration, roadmap, and stakeholder liaison. Define business requirements for reporting, ensure data quality, partner with tech and vendors, and drive data-driven automation and ML features to improve operations. Manage tools, KPIs, and change adoption across a multi-brand retail environment for the duration of a multi-year transformation.

As a Senior Associate in the Financial Crime Unit at PwC, you'll analyze complex datasets using SQL and Python, apply machine learning techniques, mentor junior team members, and build client relationships while enhancing your technical skills.