Top Data & Analytics Jobs

The Director of Business Intelligence & Data Strategy will transform data organization, lead AI-first data strategy, establish governance, and influence executive leadership for measurable business impact.

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

Use advanced analytics and ML to design and monitor credit risk models, optimize underwriting and credit strategies, partner with Engineering/Product/Compliance, oversee portfolio performance and regulatory alignment, and lead cross-functional initiatives to balance growth, compliance, and risk mitigation.

The EO Imagery Analyst will provide geospatial and imagery analysis to improve data operations for ML algorithm testing, working with EO imagery products and metadata.

The Geospatial SAR Imagery Analyst Scientist analyzes SAR data to improve machine learning algorithms, curating imagery for data sets and recommending strategies for data gaps.

The EO Imagery Geospatial Analyst/Scientist provides geospatial expertise, conducts assessments, analyzes data formats, and supports ML algorithm testing.

Responsible for validating market risk models and ensuring their accuracy. Engage with various stakeholders, communicate findings, and maintain model integrity while leveraging innovative analytical technologies.

Lead a global analytics team to transform financial and operational data into actionable insights. Partner with stakeholders to align analytics with strategy, build scalable Power BI dashboards integrated with Snowflake, apply predictive modeling and ML, enforce data governance, drive automation with Python and Power Automate, and improve data architecture and reporting to inform decision-making and business performance.

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.

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

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.

The Fraud Model Analyst role involves analyzing large datasets, developing algorithms, and presenting insights to management to optimize processes.

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.

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.

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.

Develop and implement models for supply chain problems using AI techniques. Collaborate with stakeholders and provide insights based on data analysis.

Curate, cleanse, validate, and maintain large US equity and options datasets; integrate fundamental and alternative data; build data pipelines for research and trading; perform statistical and ML analysis to identify market patterns; document data provenance and collaborate with engineers and traders to deploy production-grade models.

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.

Develop and deploy advanced statistical and ML models on large-scale alternative datasets to generate investable signals, partner with investment teams, evaluate data quality, and drive novel data-driven research with commercial impact.

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.

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.

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

Lead subscription analytics for SoFi Plus: define engagement/retention metrics, run deep-dive analyses and experiments, build scalable data pipelines and ML models, create executive dashboards, and influence product strategy to grow subscription value.

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.