Top Data & Analytics Jobs

Analyze web, journey, survey, and marketing data to uncover actionable insights for enterprise clients. Translate technical findings into business recommendations, test-and-learn plans, dashboards, reports, and presentations. Collaborate with account teams, ensure data quality and statistical rigor, investigate anomalies, and support client questions. The role requires expertise in analytics platforms, data visualization, spreadsheets, SEO, and client-facing data storytelling in a fast-paced SaaS environment.

Manages a team of strategy analysts supporting legal placement operations. Oversees strategy deployment, segmentation criteria, testing, inventory optimization, process improvement, compliance controls, and data-driven recommendations. Analyzes financial and legal operational data using SQL and Excel, presents findings to leadership, maintains policies and change logs, resolves process issues, and mentors junior analysts. Supervises hiring, training, performance evaluation, work assignment, and employee development.

Owns global commercial performance reporting, volume forecasting, market share analysis, and performance management across AB InBev. Develops standardized reporting, analytical methodologies, and executive-ready insights to identify risks, opportunities, and business drivers. Partners with Commercial, Finance, Revenue Management, and regional teams to improve data quality and decision-making. Leads forecasting enhancements, performance decomposition, automation, visualization, and strategic analyses for senior leadership.

Build governed Snowflake data marts and Sigma dashboards while migrating legacy SQL Server logic. Reverse-engineer stored procedures, views, and queries; translate business requirements into reliable reporting; establish standardized metrics, semantic layers, documentation, governance, and data-quality practices for sensitive healthcare claims data.

Build and maintain data pipelines, warehouses, transformation workflows, data models, and reporting layers. Improve data quality, governance, reliability, performance, and cost efficiency across analytics systems. Manage ingestion and event-streaming workflows, develop star-schema data marts, and collaborate with analysts and stakeholders to translate business needs into scalable data solutions.

Supports Risk and Payments and Fraud teams through SQL dashboarding, transaction and fraud trend analysis, flagged-account reviews, chargeback process improvements, SOP comparisons, and daily monitoring. The intern assists senior analysts, identifies reporting and workflow improvements, follows regulatory controls, and participates in structured training. The role requires 15–28 hours weekly for 12 weeks beginning in January.

Lead the analytics function by building Power BI and Superset dashboards, conducting deep-dive analyses, and applying AI and NLP tools to generate insights. Own reporting data observability, SQL and database performance, production support, capacity planning, and platform reliability at scale. Collaborate with customers and cross-functional teams on analytics solutions and roadmap development while building and mentoring a high-performing analytics team.

Leads enterprise analytical modeling and semantic architecture, establishes standards for testing, documentation, governance, lineage, observability, and access, and develops reusable governed data products. Partners across Product, Engineering, Finance, Clinical, Research, Marketing, and AI teams; guides architecture reviews, data quality ownership, semantic layer design, and governance adoption. Mentors engineers and drives modernization of analytical environments.

Designs, builds, maintains, and troubleshoots SQL queries and data extracts for financial and operational reporting. Transforms source data into reliable datasets, automates recurring processes, validates and reconciles data, identifies quality issues, and supports integrations between systems and analytics platforms. The role also documents data flows and technical processes while supporting federal law enforcement clients.

Support Supply Chain reporting, data analysis, and process improvement initiatives. Responsibilities begin with modifying and troubleshooting existing reports, then expand to report development and data analysis projects. The role uses Power BI, Excel, SQL, DAX, R, and Power Query while requiring accurate work, communication, independent initiative, and attention to instructions.