Top Data & Analytics Jobs

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.

Lead the design and operation of a scalable data platform, owning ingestion, orchestration, observability, lineage, data modeling, contracts, and ETL/ELT pipelines. Build Databricks and PostgreSQL solutions, implement data-quality controls, anomaly detection, governance, privacy, and compliance practices, and establish reusable engineering standards. Mentor engineers and ensure reliable, traceable data across markets and product lines.

Maintains item master data quality, integrity, and compliance in Oracle Fusion ERP and enterprise repositories. Manages new item requests and attribute changes, enforces governance policies, maintains data dictionaries and SOPs, and monitors workflow SLAs. Performs data profiling, hygiene audits, root-cause analysis, and quality reporting. Collaborates with accounting, quality, technical, and business teams; trains users on submission standards and workflows; and drives continuous process improvement.

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.

Analyze and manipulate large datasets supporting energy modeling and SEM programs. Review data before and after modeling, maintain standardized templates and databases, integrate data into statistical software, quality-control models and reports, and create work instructions. The role also involves automating data processing, troubleshooting Visual Basic and Excel tools, managing Smartsheet data, supporting benchmarking reports, and collaborating with internal teams and occasional clients.

Builds and maintains enterprise datasets, semantic models, Power BI and Microsoft Fabric reporting solutions, forecasting models, dashboards, and automated analytics. Partners with Finance, Operations, and IT to translate requirements into decision-support tools. Ensures data quality through validation, reconciliation, and monitoring while improving reporting governance and analytical methodologies. Uses SQL, Python, AI, and automation technologies to streamline business processes and deliver reliable insights.

Develops and leads end-to-end business intelligence, reporting, analytics, database, data warehouse, and data modeling solutions. Translates business requirements into dashboards, reports, metrics, scorecards, and management insights. Partners with internal stakeholders and leadership, supports healthcare and managed care data initiatives, resolves complex issues, manages multiple projects, and provides technical guidance, training, and coaching to colleagues.

Manage Oracle database systems by installing, configuring, securing, monitoring, optimizing, and maintaining availability and performance. Responsibilities include backup and recovery, disaster recovery, user access management, storage allocation, capacity planning, troubleshooting, and collaboration with development teams. The role requires 5+ years of Oracle DBA experience and eligibility for Public Trust clearance, with PostgreSQL and healthcare IT experience preferred.

Designs and maintains enterprise conceptual, logical, and physical ESG data models supporting sustainability, risk, finance, and treasury functions. Collaborates with data architects, technology teams, sustainability stakeholders, and enterprise architecture to align models with data governance, regulatory, and architectural standards. Defines data flows and sources, supports development projects, establishes ownership processes, and translates business requirements into scalable data solutions using SQL, UML, and data modeling tools.