Top Data & Analytics Jobs

Lead analytics-driven strategy, product, marketing, and credit risk initiatives for retail and small business banking. Manage 1-2 analysts, build product/pricing strategies, develop risk models, partner with IT, sales, operations and finance, and deliver business requirements and execution for growth and profitability.

Design, build, and operate scalable cloud data platforms, pipelines, and applications using distributed data technologies. Lead architectural decisions, data modeling, platform selection, and large-scale transformation initiatives. Collaborate with product managers, software engineers, analysts, and data scientists while ensuring resilience, maintainability, and operational efficiency. Mentor engineers, establish engineering standards, communicate technical outcomes, and independently deliver end-to-end data solutions across relational, NoSQL, batch, and streaming environments.

Lead the design and development of scalable, low-latency real-time data platforms and distributed streaming pipelines. Build data solutions using Flink, Spark, Kafka, Snowflake, AWS services, and related technologies. Guide engineers, establish data architecture and pipeline best practices, develop cloud-based solutions, support Agile delivery, perform testing and code reviews, and mentor team members. The role also involves data modeling, observability, data warehousing, and collaboration with product, security, and engineering teams.

Design, build, and support scalable cloud data platforms, pipelines, and applications using Python, Spark, SQL, AWS, Databricks, and Snowflake. Develop distributed, real-time, and batch data solutions; apply data modeling, security, encryption, and access controls; enforce reusable engineering patterns; and collaborate with product, software, analytics, and data science teams. The role also involves mentoring, communicating technical concepts to stakeholders, supporting operational resilience, and independently delivering cloud-first data solutions.

Analyze complex data to solve business problems, develop data solutions and self-service capabilities, create dashboards and business intelligence insights, and implement data quality, governance, metadata, lineage, security, and access controls. The role requires collaboration with business and technology teams, scripting and querying expertise, BI visualization experience, AWS knowledge, and quantitative education.

Design, build, and operate scalable cloud data platforms, pipelines, and applications. The role involves distributed data processing, data modeling, relational and NoSQL databases, warehousing, streaming, security, and observability. The engineer collaborates with Agile teams, architects reusable engineering patterns, communicates technical outcomes, mentors colleagues, and delivers resilient data solutions using technologies such as Python, Spark, Databricks, and Snowflake.

Design, build, deploy, and support scalable cloud data solutions, pipelines, platforms, and applications for enterprise risk management. The role uses Python, Spark, SQL, relational and NoSQL databases, Databricks, Snowflake, and cloud technologies. Responsibilities include data modeling, distributed and streaming workloads, security controls, architecture standards, observability, operational efficiency, stakeholder communication, mentoring, and collaboration with product, engineering, analytics, and machine learning teams.

Leads quantitative model risk analysis for loan loss forecasting and allowance for credit losses. Evaluates model soundness, performance under stress scenarios, regulatory alignment, and model risk. Develops alternative approaches, applies econometric, statistical, and machine learning methods, improves model frameworks, documents findings, and communicates complex results to management, regulators, and technical audiences. Collaborates with model development and risk teams while supporting continuous improvement and Agile delivery.

Leads pricing and analytics strategy, prioritizes analytical requests, translates ambiguous business questions into recommendations, and delivers executive insights. Owns business strategy, product and pricing analytics, credit risk modeling, marketing insights, and cross-functional execution. May manage analysts, oversee projects, develop business requirements, and partner with Sales, Finance, IT, Operations, and other teams to improve profitability and performance.

Design, build, and architect scalable cloud data platforms, pipelines, and applications. Lead large-scale data initiatives, make architectural decisions, evaluate technologies such as Snowflake and Databricks, enforce engineering patterns, and ensure performance and resilience. Collaborate with product, engineering, analytics, and data science teams while mentoring engineers and communicating technical outcomes to stakeholders.