Top Data & Analytics Jobs

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.

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.

Develop financial, strategic, pricing, forecasting, and operational models; analyze complex datasets; build dashboards and recurring reports; validate data; and translate findings into actionable recommendations. The Senior Analyst partners with Sales, Pricing, Operations, Finance, and senior leaders to support strategic decisions, identify risks and opportunities, automate reporting, and manage multiple analytical projects.

The Business Analytics Analyst prepares and validates data, builds and maintains reports and dashboards, performs exploratory and predictive analysis, identifies trends, and develops actionable recommendations. The role partners with cross-functional teams and senior analysts to translate business requirements into analytical solutions, communicate findings, maintain data quality, and support scalable reporting processes. This is a hybrid position requiring two years of analytical experience and proficiency with BI tools, Python or R, SQL, and Microsoft Office.