Top Data & Analytics Jobs

Designs and optimizes ETL pipelines supporting analytics, data science, and machine learning. Builds labeling, retraining, MLOps, model monitoring, and production inference workflows. Contributes to lakehouse architecture, data modeling, governance, lineage, and quality. Uses infrastructure as code and containerization to create reproducible environments, collaborates with data scientists and BI teams, participates in code reviews, and improves engineering practices.

Supports business application analysis, requirements gathering, process mapping, automation opportunities, documentation, testing, and user acceptance. The analyst translates business needs into functional specifications, user stories, process flows, data models, test cases, and acceptance criteria. Responsibilities also include SQL-based data validation and troubleshooting, application support, issue tracking, stakeholder communication, and collaboration with developers and QA teams.

Conduct competitive intelligence for life insurance and annuity markets by monitoring competitors, analyzing products, pricing, filings, market trends, sales results, and strategic developments. Create competitor profiles, battlecards, comparison tools, executive briefings, and recurring reports. Translate complex research into actionable recommendations for Product, Pricing, Sales, Marketing, Distribution, and leadership teams, while improving reporting and monitoring through automation and approved AI tools.

Lead Customer Master Data Management implementations using Informatica IDMC and Informatica MDM. Drive data management, quality, integration, governance, stakeholder engagement, and project delivery. Apply extensive data engineering experience and support client engagements, with consulting or professional services experience preferred.

The Operations Data Analyst collects and analyzes operational and financial data, develops dashboards and performance reports, tracks KPIs, identifies trends and root causes, and recommends corrective actions. The role partners with operations, accounting, and finance teams to improve data accuracy and processes, presents findings to leadership, and trains employees on reporting tools and procedures.

Supports data cleansing, quality checks, reporting, dashboards, data-source and metadata maintenance, data integrity, and normalization. Translates reporting requirements and analytical results for nontechnical audiences, handles sensitive information securely, and assists end users with reports and dashboards. Works under senior analyst guidance in a federal environment and must be able to obtain and maintain a Public Trust clearance.

Analyzes data from university systems to support student success, operational efficiency, institutional reporting, and executive decision-making. Develops dashboards and reports, integrates data sources, ensures data quality, supports data warehousing and governance, and uses AI-enabled analytics for forecasting and anomaly detection. Collaborates with campus departments, trains end users, and promotes data literacy and responsible data use.

Supports Consumer Finance reporting and project activities by eliciting and documenting requirements, collaborating with business and development teams, triaging testing defects, and contributing to project status meetings. The internship requires analytical reasoning, communication, facilitation, organization, and time-management skills. It runs full-time for 10–12 weeks during summer 2027 and includes networking, professional development, presentations, volunteering, and an in-person corporate-office event.

Analyzes organizational and clinical data, develops reports, dashboards, visualizations, surveys, and reporting tools, and presents findings to leaders and boards. Audits data quality, improves workflows and system integration, maintains reporting configurations, supports quality improvement and patient management initiatives, and trains users on data systems. The role collaborates with stakeholders, ensures privacy compliance, and travels between organizational and partner sites as needed.

Designs and delivers a global analytics platform supporting reporting, visualizations, self-service analytics, and embedded data products. Responsibilities include data collection and processing, semantic modeling, warehouse and pipeline development, query optimization, governance, analytics enablement, and stakeholder collaboration. The role provides actionable insights from complex travel data and builds integrated analytics applications using cloud platforms and business intelligence tools.