Top Data & Analytics Jobs

Support database architecture, development, maintenance, security, and documentation while collaborating with database administrators and application developers. The intern will learn database tools, standards, best practices, and development workflows through meaningful business projects during a full-time, 12-week summer internship.

Design and modernize scalable data engineering, business intelligence, and data warehouse solutions. Build enterprise ETL pipelines, support analytics and reporting, and leverage Azure, Databricks, and AI automation. Collaborate across teams to develop and test data warehouse applications, maintain quality through code reviews and ETL testing, troubleshoot data issues, and provide technical guidance to other Data Engineers.

Perform data migration and conversion for court case management system implementations. Develop repeatable ETL processes, technical methods, documentation, training materials, and implementation deliverables. Analyze customer requirements, provide conversion estimates and budgets, track project costs, and collaborate with project managers. Support database-related implementation and post-implementation activities, including customer-facing technical services and occasional onsite work.

Analyze large datasets and develop strategic insights to improve customer experience, profitability, and organizational performance. The role creates and automates reporting, builds quantitative analyses, designs data-driven products and solutions, and communicates recommendations to senior executives. Responsibilities include partnering with stakeholders, managing multiple project streams, and using Excel, SQL, Snowflake, R, and Tableau to support business decision-making.

Leads Gartner research and thought leadership on data management for AI enablement. Provides expert guidance on data platforms, governance, context-layer architectures, AI integrations, and secure enterprise infrastructure. Develops market insights, advises executive clients, delivers presentations, supports sales, reviews content, mentors analysts, and improves research processes. Requires strong research, writing, analytical, presentation, communication, business, and technical skills, with up to 25% travel.

Supports Gartner Services leaders through territory planning, market opportunity analysis, retention and productivity analysis, scenario modeling, and data-driven recommendations. The role owns complex analytical projects, identifies efficiency and growth opportunities, performs regression and custom analyses, and communicates insights to senior executives. It also designs and optimizes service territories, supports recurring planning processes, and develops analytical best practices across regions.

Develop and optimize Oracle Fusion Data Intelligence analytics, reporting, semantic models, data integrations, and augmentation solutions. The role supports Oracle ERP, HCM, and SCM data, including OTBI, BI Publisher, ODI, ETL, SQL, and PL/SQL development. Responsibilities include requirements gathering, data cleansing and validation, cross-functional collaboration, and contributing to an ERP analytics roadmap. This is an onsite role in Des Moines, Las Vegas, or Portland, with an initial 3–4 month W2 engagement.

Build and lead scalable data and machine learning systems for an AI platform automating product regulatory compliance. Responsibilities include designing system architecture, selecting technologies, developing backend and internal services, collaborating with data and ML engineers, and balancing speed with scalability. The role requires strong Python, database, microservices, AWS, and Docker expertise, along with startup product development experience and technical leadership.

Supports geospatial territory management for Personal Lines pricing and underwriting by creating, validating, and maintaining GIS maps and territory definitions. Partners with actuarial, product, underwriting, and technology teams to manage data flows, releases, testing, and issue resolution. Analyzes data quality, documents GIS processes, and identifies opportunities to automate recurring workflows. Also produces reports, recommendations, and business information analyses while maintaining database integrity and supporting internal users.

Develops governed investment data products, pipelines, models, semantic layers, dashboards, and reporting solutions using cloud data platforms. Partners with business and technology teams on requirements, governance, data quality, testing, access controls, and production support. Requires strong SQL, Python, data modeling, Snowflake or Databricks, and BI experience, with preferred financial services knowledge. The role is hybrid in Columbus, Ohio, and does not offer employer-sponsored work authorization.

Support marketing analytics by analyzing digital channel performance, building and maintaining KPI dashboards, ensuring data accuracy, and collaborating with cross-functional teams to turn insights into actionable recommendations.

Lead delivery and transformation of financial analytics for investment banking partners. Oversee team utilization and capacity planning, implement AI and automation (UIPath, Python, GPT/Claude) to create scalable products (profiles, pitchbooks, dashboards), partner with research and stakeholders, measure service effectiveness, and identify new analytics opportunities.

Leads the analytics strategy for Financial Planning within Wealth Management. Builds scalable data infrastructure, reporting, dashboards, KPI frameworks, and advanced analytics to improve client engagement and planning effectiveness. Partners with business, technology, sales, risk, legal, and compliance teams to unify data, establish governance, and resolve data gaps. Leads analytics automation and AI adoption while managing, mentoring, and scaling an analytics team and offshore resources.

Leads workplace analytics strategy, KPI governance, executive reporting, business intelligence, and strategic insights for Morgan Stanley at Work. Oversees stock plan, client, participant, sales pipeline, financial, and growth analytics; identifies cross-sell and conversion opportunities; improves data quality, governance, reporting scalability, and AI-enabled analytics. Partners with senior business, technology, finance, product, and data leaders while managing and developing the analytics team.

Leads Vizient’s indirect spend data and analytics strategy, operating model, governance, quality standards, reporting, automation, and AI adoption. Oversees data lifecycle management, modeling, integration, categorization, normalization, analytical methodologies, dashboards, and decision-support tools. Manages data and analytics teams, develops reusable assets for consulting engagements, partners with technology and product teams, and supports business development and member presentations.