Top Data & Analytics Jobs

Leads data analytics and business intelligence strategy, mining large datasets, building and validating models, improving processes and reporting, evaluating products and initiatives, and consulting on data systems. Manages and mentors junior analysts, collaborates across business units, and oversees projects from inception through completion. The role requires advanced analytical, programming, communication, leadership, and problem-solving skills.

Leads credit underwriting and valuation analysis, develops and tests strategies, and presents recommendations to senior leadership. Oversees complex analytical work, guides junior analysts, establishes team roadmaps, and monitors strategy performance. Uses SQL, Python, spreadsheets, Tableau, and QuickSight to analyze data and automate reporting. The role includes developing a high-performing analyst team and is expected to evolve into people leadership.

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.

The role involves leading a team to develop AI and ML solutions, manage customer interactions, and analyze large data sets using various technologies.

Lead data strategy, architecture, and modeling for high-volume transactional network platforms. Build monitoring and anomaly-detection frameworks, optimize operational data schemas, align local assets with enterprise data strategy, communicate findings to stakeholders, and mentor technical staff.

Perform strategic quantitative analysis and modeling to inform product, pricing, marketing, and credit risk decisions for business cards and payments. Lead hypothesis-driven problem solving, partner with IT, sales, operations and finance, support implementation and monitoring, and communicate insights to influence stakeholders.

Lead analytical efforts to inform product, pricing, marketing, and credit risk strategies. Build and test models, perform SQL-based analysis, develop recommendations, drive implementation with cross-functional partners, and monitor results to improve profitability and customer experience.

Design, build, and maintain data solutions to support enterprise risk. Partner with business to produce dashboards and analyses, drive data quality, metadata and lineage practices, manage data access governance, and use open-source tools and cloud services to enable self-service analytics.

The Manager, Data Analysis will lead a team of analysts, leveraging analytical skills and models to drive data strategy and improve customer experiences. Responsibilities include mining complex data, enhancing operational efficiencies, and mentoring junior team members while collaborating across business units.

Analyze complex data, build self-service data solutions, and develop business intelligence tools, metrics, dashboards, and visualizations. Partner with business and technology teams to deliver strategic insights, manage data quality, metadata, lineage, definitions, security, and access governance. The role requires scripting, data querying, Snowflake development, business intelligence visualization, and experience with data management and governance.