Top Data & Analytics Jobs

Defines and documents client business and technical requirements for analytics solutions, collaborates with developers on design and testing, and delivers data ingestion, reporting, dashboards, business intelligence, data warehousing, and advanced AI/ML applications. Partners with delivery and account management teams to ensure customer satisfaction, provide analytics consulting, and recommend appropriate cloud and BI technologies.

Analyzes transaction and business data using SQL, builds and maintains BI dashboards, handles ad hoc requests, and translates stakeholder needs into actionable insights. Partners with Finance and Operations, documents analytical best practices, mentors junior team members, promotes data literacy, and designs A/B tests to guide feature prioritization.

Supports research and analytics on economic, real estate, and financial trends. Responsibilities include organizing and evaluating data, developing quantitative and qualitative insights, maintaining internal databases, preparing market analyses, and creating content for presentations, webinars, podcasts, websites, and other communications.

Leads business analysis, advanced analytics, KPI development, data modeling, reporting automation, and AI/ML initiatives supporting global data-center construction and operational excellence. Builds datasets, dashboards, performance metrics, forecasts, and scenario models; translates complex findings for executives; aligns technology solutions with business needs; and promotes data governance, documentation, process improvement, and analytics maturity across cross-functional teams.

Develop and support a multi-terabyte inventory and position data platform for financial markets. Responsibilities include migrating KDB+ data to Snowflake, database engineering, data modeling, access controls, performance optimization, testing, platform upgrades, cloud-based data distribution, and stakeholder collaboration. The role also maintains existing KDB+ systems while contributing to a greenfield Snowflake architecture in an Agile environment.

Designs and maintains scalable data pipelines, ETL/ELT processes, metadata repositories, catalogs, and governance solutions. Integrates structured and unstructured data across cloud platforms, develops data warehouses, lakes, and lakehouses, and implements lineage, quality monitoring, automation, and compliance controls. Collaborates with architects, analysts, data scientists, governance teams, and business stakeholders to support analytics, AI/ML, business intelligence, data discovery, and self-service reporting.

Analyze underwriting and claims data to set rates, prepare statistical analyses and filings, project loss trends, support product development, and present findings to stakeholders to inform pricing strategy.

Leads end-to-end ERP data conversions, including extraction, mapping, cleansing, enrichment, loading, reconciliation, mock conversions, testing, issue resolution, and status reporting. Collaborates with ERP program leads and functional and technical teams to develop conversion strategies and finalize data mappings. The role requires independent problem-solving, advanced technology expertise, and experience leading global teams.

Leads advanced business banking credit risk analytics and reporting, including portfolio analysis, predictive insights, dashboards, regulatory reporting, KRI governance, and risk strategy support. Advises senior leaders, interprets regulations, manages strategic initiatives, improves reporting processes, and partners with stakeholders on credit policies and portfolio decisions. Uses SAS, Python, and Power BI to integrate data, automate reporting, develop analytical models, and communicate emerging risks and recommendations.

Investigate and resolve complex data issues across Commercial Banking by developing SQL- and Python-based data quality controls, monitoring frameworks, automation, dashboards, metadata, lineage, and governance documentation. Partner with business and technology stakeholders to improve data stewardship, regulatory compliance, and decision-making. The role also modernizes governance through AI, agentic technologies, and emerging automation tools.

Collects, cleans, analyzes, and reports business data across automotive customer programs. Develops data models, dashboards, business cases, and actionable recommendations using Tableau, Power BI, Python, SQL, and advanced Excel. Partners with operations, PMO, and customers to identify improvement opportunities, monitor performance, communicate insights, and support data-driven decisions. The role requires strong automotive experience, analytical expertise, data storytelling, and stakeholder presentation skills.