Top Hybrid Data & Analytics Jobs

The role involves overseeing statistical programming for oncology trials, providing guidance on regulatory submissions, managing cross-functional collaboration, and ensuring compliance with CDISC standards, while also leading programming teams and projects.

The Senior Actuary will develop pricing models, analyze product performance, drive initiatives for professional lines, and collaborate across teams to support data-driven decisions and manage risk.

Lead and execute analytics across client engagements: measurement strategy, reporting, advanced measurement (attribution, incrementality, experimentation), AI-enabled analytics, and team leadership. Ensure analytics inform media planning, deliver scalable measurement frameworks, and drive client-facing insights tied to business outcomes while mentoring an analytics team.

Lead a Customer Engagement team delivering marketing analytics and commercial intelligence to major advertisers. Manage client portfolios, drive analytics projects (MMM, attribution, experiments, segmentation, pricing), ensure delivery quality and adoption, grow accounts, hit revenue/profit goals, coach staff, and contribute to business development and internal initiatives.

Design and build scalable cloud-native data pipelines and models to produce trusted, analysis-ready data. Ensure data quality, governance, and privacy controls, apply software engineering best practices, enable BI and AI/ML consumption, and collaborate with clients and cross-functional teams.

Design, build, and operate a Databricks-centric Data & AI platform using Medallion Architecture. Implement scalable ELT/ETL pipelines with Spark and Delta Lake, ingest data from enterprise systems, enforce data quality and governance, enable ML/AI workflows with MLflow, and manage cloud data storage on ADLS or S3. Provide documentation, monitoring, training, and weekly progress reporting.

Lead liaison between business and technology for Data Services, translating strategic objectives into data, analytics, and reporting initiatives. Drive requirements gathering, solution design, prioritization, testing, delivery coordination, and adoption while partnering with Data Engineers, Architects, Governance, and Finance/HR stakeholders to ensure measurable business value.

The Senior Data Quality Specialist will develop data quality rules, implement cloud-based solutions, and analyze data accuracy, leading projects and collaborating with teams.

Leads the business unit’s data management and master data transformation across customer, product, material, vendor, pricing, and installed-base domains. Establishes governance, ownership, quality standards, lifecycle workflows, authoritative sources, and integration practices across CRM, ERP, PIM, portals, engineering systems, and reporting platforms. Enables trusted Power BI reporting, AI readiness, compliance controls, and data-product development while coordinating stakeholders, vendors, remediation initiatives, and strategic data-roadmap execution.

Lead company-wide data and analytics strategy across insurance and real estate investment operations. Build governance, collection frameworks, reporting platforms, dashboards, models, and KPI systems; translate complex data into executive insights; automate analytics workflows; support underwriting, claims, forecasting, capital allocation, and portfolio performance; and build and mentor a high-performing analytics team while remaining hands-on.