Top Data & Analytics Jobs

Map, analyze, and optimize customer journeys across all touchpoints. Collaborate with Product, Marketing, Customer Experience, and Engineering to design cohesive experiences. Use Adobe Journey Optimizer, Adobe Experience Manager, and Customer Journey Analytics to measure outcomes and drive process improvements. Follow company policies and adapt to changing assignments and locations as required.

Translate complex healthcare data into decision-ready insights by applying hypothesis-driven analysis, partnering with stakeholders, building reusable analytical assets, ensuring data quality, and communicating findings to executive and operational audiences to drive cost, quality, and growth improvements.

Design, build, and maintain scalable Azure-based data lake/lakehouse and ETL/ELT pipelines using Databricks, ADF, and Snowflake. Lead architecture, performance tuning, CI/CD, monitoring, and production support. Mentor junior/offshore engineers, collaborate with stakeholders and infra teams, and ensure data quality, security, and compliance for healthcare data.

Lead supply chain analytics for health systems: design and operationalize analytics, partner with data engineering and stakeholders, translate complex healthcare data into decision-ready insights, promote best practices, and drive adoption across clinical and operational teams.

Ensure data quality and develop measures for the Arkansas AME DSS project. Analyze and document data anomalies, build and maintain dashboards, create test procedures and code, communicate findings to stakeholders, and support analytics and project management initiatives to improve data accuracy and business processes.

Analyze, forecast, and report workforce and operational metrics (volume, AHT, shrinkage, occupancy, attrition, SLAs). Support short- and long-term capacity planning, develop business solutions, and present findings to drive operational decisions.

Conduct research and analyze large datasets to produce reports, dashboards, and recommendations. Manage content, coordinate projects, maintain documentation, and present findings to stakeholders while ensuring data quality and process improvements.

Lead a global BI and data analytics team to analyze client requirements, design automated analytical products, support strategic business initiatives, partner with US leaders on talent strategy, and deliver high-quality BI solutions using SQL, Snowflake, and Tableau/Power BI.

Design, build, and optimize cloud-based data pipelines using Azure Databricks, Spark, and Python. Migrate legacy ETL (Teradata, IBM DataStage) to modern cloud solutions, orchestrate workflows (Airflow/Autosys), ensure data quality and performance, mentor junior engineers, and collaborate with stakeholders to translate business needs into scalable data architectures.

Senior analytics partner supporting Credit teams: build and optimize SQL queries, use Python for advanced analysis and automation, create Power BI and SSRS reports, perform Excel deep-dives, analyze credit metrics, validate and reconcile data, communicate insights to stakeholders, support automation and mentor junior analysts while ensuring governance and regulatory compliance.