Top Data & Analytics Jobs

Leads global insights excellence by standardizing methodologies, governing KPI frameworks, creating common insight languages, and establishing scalable governance and ways of working. Partners with senior stakeholders across markets, builds organizational capability, drives adoption, and leads transformation to embed trusted insights in decision-making.

Identifies business intelligence and reporting needs, gathers requirements, develops business requirements, analyzes business processes and data, and supports dashboards, reports, KPIs, and data warehouse strategy. Ensures data quality, maintains metadata and data dictionaries, researches business problems, and presents findings. The role also trains clients on analytical tools and complies with banking regulations, risk controls, and internal policies.

Analyze streaming engagement trends and drivers across content, subscribers, and products. Conduct ad hoc deep dives, develop engagement metrics, use SQL and visualization tools to synthesize large datasets, and communicate actionable insights through reports and presentations. Partner with Content, Product, Marketing, Programming, and other business teams to support audience understanding, content optimization, and retention decisions.

Build and lead NVIDIA’s enterprise data governance platform, covering sensitive-information detection, governed access, export-control enforcement, audit logging, data connectors, and AI knowledge readiness. Design scalable backend, distributed, and data-processing systems; integrate enterprise content sources; evaluate ML classification models; enforce access-control fidelity; and ensure ingestion quality. Provide technical leadership through architecture decisions, code and design reviews, mentorship, and cross-functional alignment with Security, Legal, Finance, and platform teams.

Build and maintain scalable data stores and reliable data pipelines for robotics and safety datasets. Optimize AuroraDB and Elasticsearch performance, support data ingestion and cleanliness, and develop QuickSight or other dashboarding solutions for organizational reporting. The intern will collaborate on dependable data platforms, use modern software development workflows, and may contribute to cloud database infrastructure, automated data integration, and infrastructure-as-code projects.

Build and lead Vibe’s Marketing Science function, defining measurement strategy and frameworks for incrementality, lift studies, attribution, and marketing mix modeling. Partner with Product, Data Engineering, Sales, Client Success, clients, and measurement providers to ensure statistically rigorous performance reporting. Analyze SQL data, design experiments, resolve discrepancies, present recommendations to senior stakeholders, publish insights, and build a team of analysts and managers.

Collects and validates survey data, programs and tests surveys, manages quotas and fieldwork progress, pulls balanced samples using SQL, coordinates with vendors, and performs data quality checks in R. The role troubleshoots survey anomalies, supports pricing and fielding strategies, and ensures accurate, timely data collection for research clients.

Acts as a technical concierge for divisional analytics teams by defining and executing data strategies, coordinating data asset development and delivery, and serving as the escalation point for business stakeholders. The role requires broad knowledge of data platforms, cloud technologies, integration, mobile and web technologies, scripting, service-oriented architecture, requirements management, Agile development, and system performance.

Administer and optimize Oracle databases, develop PL/SQL and SQL solutions, manage schemas and data models, perform ETL and data validation, investigate anomalies, support reporting and secure data exchange, and coordinate database changes with application teams and Government stakeholders. The role also requires technical documentation, production database support, and compliance with DoD certification and clearance requirements.

Supports operations through advanced data analytics, statistical modeling, machine learning, automated ETL pipelines, and data integration. Develops reproducible workflows, dashboards, reports, metrics, and data standards while cleaning and analyzing observational and healthcare data. Collaborates with IT and data engineering teams to improve scalable analytics infrastructure and evaluates emerging analytical technologies. Requires expertise in Stata, R, or SAS, with scripting and querying experience in Python or SQL.