Top Data & Analytics Jobs

Own Marvell’s market intelligence modeling, including TAM/SAM/SOM sizing, demand forecasts, scenarios, sensitivity analyses, and emerging-market assessments. Build reproducible analytical pipelines using statistical modeling, machine learning, Python, SQL, and Excel. Govern internal and external market data, develop living dashboards, and translate complex findings into recommendations for executives, Finance, Sales, Investor Relations, business units, and board-level stakeholders.

The Director of Biostatistics leads statistical strategy and analysis for clinical trials in oncology, collaborating with clinical teams and regulatory bodies.

Supports casino slot-floor analytics by collecting and analyzing machine performance data, maintaining profitability reports and dashboards, assisting with forecasting and budgeting, evaluating game placement decisions, and preparing management presentations. The intern also supports slot systems, capital purchase proposals, labor optimization analysis, and recurring product plans while collaborating with Slot Technical, Operations, and executive leadership teams.

Designs and supports digital SHE solutions for North American manufacturing, including Power Platform applications, integrated data models, dashboards, risk maps, AI tools, and automated workflows. Translates shop-floor safety requirements into technical specifications, configures and tests applications, establishes data governance standards, and supports deployment and optimization. Advises IT, cybersecurity, legal, operations, and data-governance teams while creating documentation, training materials, and reusable solutions.

Design and implement enterprise-level data models, governance, metadata management, and data quality processes. Lead selection and deployment of data tools, ensure regulatory compliance, support application rollouts, and coach staff while collaborating with stakeholders to deliver the data architecture roadmap.

Supports the Product Innovation Team by modifying and optimizing SQL queries, visualizing data with BI tools, identifying insights, and analyzing enhancements. Participates in coding, testing, documentation, and discussions while providing customer service and managing multiple tasks. The internship requires at least 30 hours per week and emphasizes advanced Excel and visualization skills, plus familiarity with Python and SQL.

Manages enterprise master data creation and change requests across global organizations. Creates and maintains customer, vendor, material, grade, and service master data in SAP, performs data loads and validation, resolves defects, coordinates with cross-functional teams, and ensures data accuracy, governance, SOX, ITAR, audit, and service-level compliance.

Provides strategic leadership for analytical operations, finance support, HCC, and project management teams. Oversees data warehousing, database administration, data marts, SQL development, workflow and application design, reporting automation, dashboards, hospital contract modeling, and financial analysis. Manages staff performance, improves operational processes, leads special projects, and develops tools that support executive decision-making and organizational efficiency.

Leads enterprise data architecture, systems integration, governance, reporting, and analytics modernization. Designs relational databases, automated imports, ETL processes, validation routines, Power BI models, and data standards. Supervises data staff, supports compliance and executive reporting, manages documentation and data security, partners with IT and external vendors, and improves interoperability, reliability, and operational visibility across enterprise systems.

Build and maintain FinOps data pipelines, BigQuery and dbt models, cost attribution systems, forecasting and anomaly detection models, and cost-versus-revenue analytics. Identify and implement AWS and GCP savings opportunities, automate governance with Python, Terraform, and Lambda, and partner with Engineering, Finance, Product, and leadership on cloud costs, forecasting, reporting, and architecture decisions.