Top Data & Analytics Jobs

Analyzes operational and management problems using mathematical and simulation models, statistical testing, and validated data. Develops, verifies, and evaluates models; prepares technical reports and briefings; conducts data elicitation and project-scoping sessions; supports implementation assessments and customer engagement. May lead small project teams, develop client training, and support related projects.

Leads development of Navanta’s secure data backbone, including lakehouse architecture, bank-system ingestion, CDC pipelines, semantic modeling, data quality, reconciliation, observability, governance, and lineage. Partners with AI/ML, security, and platform teams to deliver reliable, queryable data products for financial institutions. Owns data contracts, access controls, regulatory data handling, pipeline SLAs, bank onboarding, and on-call reliability operations.

Leads enterprise HR analytics and business intelligence strategy, including dashboards, reporting, data governance, data quality, automation, and actionable insights. Manages analytics priorities, projects, stakeholders, and deliverables while partnering with HR, IT, and business leaders. Oversees reporting standards, compliance reporting, data integrity, and analytics solutions. Mentors analytics staff and trains end users on data literacy, reporting tools, visualization, and consistent analytics practices.

Lead analytics for healthcare products by developing end-to-end data models, KPIs, dashboards, funnel and cohort analyses, marketing attribution, and product performance insights. Partner with Product, Marketing, and Member Services to evaluate initiatives, identify trends and risks, and inform strategic decisions. Prepare executive business reviews and communicate data-driven recommendations. Requires advanced SQL, large-dataset analysis, modern analytics environments, AI-enabled workflows, and business intelligence dashboard development.

Conduct forensic analytics for anti-money laundering and financial crime monitoring. Analyze large transactional datasets with SQL and Alteryx, identify suspicious behaviors and emerging typologies, develop and validate detection scenarios, calibrate thresholds, perform lookbacks and segmentation studies, evaluate transaction networks, and support AML investigations, SAR narratives, and regulatory responses.

Own and evolve Worldly’s production data lake, Postgres warehouse, CDC and streaming pipelines, dbt transformations, orchestration, BI access controls, and graph integrations. Maintain reliable, governed analytics infrastructure using Iceberg, Trino, Dagster, Terraform, and AWS. Support production generative AI workflows involving embeddings, similarity search, extraction, and classification. Responsibilities include data quality, monitoring, security, incident response, disaster recovery, schema governance, and collaboration with data science and analytics stakeholders.

Provides database engineering and Oracle DBA support for complex, distributed intelligence systems. Responsibilities include database architecture, design, administration, migration, replication, backup and recovery, performance tuning, security, schema development, scripting, requirements analysis, documentation, and technical issue resolution. Collaborates with engineering, testing, security, management, and customer teams in an Agile environment, supporting high availability, capacity planning, system optimization, and quarterly PI Planning activities.

Leads the enterprise analytics and business intelligence function, overseeing Snowflake and Power BI strategy, data governance, KPI standardization, reporting, data quality, and executive decision support. Partners with Finance, Operations, Revenue Cycle Management, IT, and practice leaders to reconcile and analyze financial, operational, clinical, workforce, and practice performance data. Builds scalable analytics processes, develops the analytics team, and advances self-service reporting across a growing multi-location healthcare organization.

Lead the enterprise master data management and governance strategy across Customer, Product, Asset, and Vendor domains. Build governance models, improve data quality through AI and automation, establish lineage and metadata standards, integrate data across ERP, CRM, PLM, and analytics platforms, and lead data stewardship teams. Own program delivery, budgets, executive reporting, and stakeholder alignment across business and technology functions.

Lead enterprise data architecture strategy and modernization across Microsoft Fabric, Azure, OneLake, lakehouses, warehouses, and integration platforms. Establish standards for modeling, ETL/ELT, governance, security, metadata, lineage, and data quality. Define AI-ready architecture patterns, lead architecture reviews, mentor engineers, and create reusable reference architectures. Drive migration from legacy platforms to Microsoft Fabric while promoting specification-driven development and scalable analytics, reporting, operational intelligence, and AI capabilities.