Top Data & Analytics Jobs

Manages global sourcing analytics across travel, gaming, and onboard media categories. Designs Power BI dashboards, analyzes complex datasets, builds business models, and delivers insights supporting sourcing strategies, negotiations, and operational improvements. Leads data governance, automation, AI adoption, and reporting optimization while serving as the team’s Power BI subject matter expert. Partners with IT, Finance, and Centers of Excellence to improve data structures, analytics tools, and transactional data quality.

The Business Analyst partners with stakeholders to gather needs, define requirements, analyze operational data, improve processes, assess risks, support system design and configuration, create testing documentation, assist with user acceptance testing and training, and contribute to project management. The role emphasizes operational efficiency, data-driven recommendations, compliance, system functionality, and continuous process improvement across Agency Operations.

Collects, organizes, curates, and maintains macroeconomic and market time-series data for systematic investment research. Responsibilities include data sourcing, vendor management, metadata maintenance, historical data cleaning, seasonal and calendar adjustments, diagnostics, quality control, revision-aware dataset management, and exploratory analysis. Works with research analysts to deliver investment-ready datasets across equities, foreign exchange, rates, and commodities.

Owns enterprise-wide customer data governance, master data management, data quality, standards, lineage, security classifications, and compliance. Leads customer data domain strategy, golden-record definition, quality analysis using SQL, issue resolution, governance initiatives, stakeholder communication, change management, and regulatory alignment. Partners across business, sales, marketing, legal, privacy, and technical teams while managing data catalogs, integrations, audit trails, and governance training.

Leads enterprise data integration and engineering capabilities, including APIs, middleware, ELT pipelines, data governance, master data management, and cloud analytics platforms. Designs secure, compliant integrations across ERP, CRM, clinical, research, quality, finance, and commercial systems. Establishes architecture standards, data quality controls, monitoring, validation, and support processes while coordinating internal engineers, vendors, and business stakeholders. The role also provides technical leadership for trusted datasets, regulatory compliance, operational reliability, and commercialization readiness.

Build and validate SQL transformations mapping healthcare financial and clinical data into a unified ontology and semantic layer. Reverse-engineer customer business rules, own testing and data correctness, manage historical backfills and incremental loads, and collaborate with customers and platform, insights, and product engineering teams. The role requires strong healthcare revenue-cycle data expertise, production Python, modern data-platform experience, transformation-as-code workflows, data modeling, and customer-facing requirements discovery.

Leads data engineering strategy, architecture, delivery, support, and lifecycle management for secure, scalable cloud and hosted data solutions. Collaborates with technical and business stakeholders to deliver complex datasets, establish enterprise data standards, manage data engineering teams, and oversee maintenance, change management, capacity planning, business continuity, disaster recovery, and regulatory security requirements. The role also evaluates third-party tools and supports Azure DevOps, SDLC, CI/CD, and technical innovation.

Leads data engineering for Payment Operations monitoring transformation. Designs and maintains Snowflake pipelines, tables, stored procedures, monitoring scenarios, KPI infrastructure, and data quality controls. Serves as the Snowflake subject matter expert, documents architecture and operational processes, guides technical partners, and translates business needs into scalable data solutions. The role requires production data engineering experience, advanced SQL, Snowflake expertise, job scheduling, pipeline operations, and stakeholder communication.

Business Analyst responsible for supporting loyalty and rewards programs within the financial services or banking industry. The role requires business analysis, modeling, UML, business process re-engineering, and excellent documentation skills. This is a six-month, in-person engagement in San Francisco, with preference for local candidates and 8–10 years of experience.

Migrate data products from Azure Synapse to Microsoft Fabric and design scalable data pipelines using Azure Data Factory, notebooks, Spark/PySpark, Python, and SQL. Implement ingestion (full, delta, CDC), refactor pandas to PySpark, apply medallion architecture, perform data quality checks, tuning, monitoring, troubleshooting, and collaborate with stakeholders to document and deploy solutions.