Top Data & Analytics Jobs

Design, build, and operate big-data and streaming platforms (Kafka, Hadoop, Dremio). Develop, deploy, and monitor data pipelines using Java, Python, Spark/Flink; collaborate on data modeling and ingestion, ensure data integrity and availability, act as a Big Data SME, and perform root-cause analysis.

Lead design and optimization of high-throughput data ingestion pipelines and Python-based microservices. Drive architectural decisions, performance tuning, observability, and scalability across distributed systems. Partner with platform, data, and product teams to standardize ingestion frameworks and enable analytics-ready data in Snowflake for reporting and downstream systems.

Design, build, and maintain data solutions to support enterprise risk decisions. Partner with business stakeholders to create dashboards and analyses, apply scripting for data processing, ensure data quality, lineage, and governance, and collaborate with tech teams on security and access.

As a Principal Data Analyst, you'll innovate, build and maintain data solutions using scripting languages and cloud services to tackle business problems, providing insights and managing data quality.

Lead analytics and strategy for retail and small business banking: identify opportunities, build pricing and credit risk models, support marketing, design targeted insights, test hypotheses, drive implementation, and partner with IT, Sales, Operations, and Finance to improve profitability and performance.

Lead end-to-end digital funnel and customer journey analytics to drive revenue, lead quality, and customer experience. Partner with Marketing, Product, Sales, and Martech to define measurement strategy, enhance tracking and data integration, run experimentation (A/B and multivariate), deliver executive insights, and recommend optimizations for personalization and conversion improvements.

Lead design and optimization of high-throughput data ingestion pipelines and Python-based microservices. Improve pipeline performance, reliability, and observability across distributed systems, define unified ingestion architectures, work with Snowflake for analytics, mentor engineers, and collaborate cross-functionally to ensure scalable, fault-tolerant data platforms.

Lead enterprise data discovery, profiling, documentation, and governance to enable consistent BI reporting. Develop business rules, standardization, and UAT test plans; partner with engineering and data architecture to implement and maintain data integrity. Collaborate with stakeholders, estimate project efforts, and maintain lifecycle documentation to support analytics and decision-making.

Lead and independently deliver complex quantitative and qualitative consumer research across international markets. Design studies, manage fieldwork and suppliers, analyze primary and secondary data, synthesize insights, and present actionable recommendations to influence product, marketing, and local market strategy.

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.

Lead analytics for Brigit's Line of Credit product: define core metrics, forecast revenue and costs, design experiments, optimize underwriting and collections, evaluate and monitor predictive models, build dashboards, and deliver ad-hoc analyses to influence product, finance, and leadership decisions.

As a Machine Learning Engineer, you will enhance internal libraries for deep learning, collaborate with researchers, and optimize workflows for cost savings.

Analyze complex datasets, build predictive models, and communicate findings to stakeholders while collaborating with data engineers and quantitative researchers.

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

The Senior Data Engineer will design and deploy AI solutions, build scalable data systems, and manage cloud databases while collaborating with teams to enhance decision-making processes.

The Associate Quality Analyst's role involves participating in quality assurance activities, developing and executing test cases, reporting defects, and collaborating in a scrum team for user story development and testing automation.

Lead enterprise data strategy and modern data stack (Snowflake, Matillion, Tableau). Own governance, security, KPI standardization, AI/ML enablement, team leadership, and delivery of scalable, high-quality analytics and executive reporting.