Top Data & Analytics Jobs

Lead data quality initiatives across banking lines of business. Own data analysis, remediation, stewardship, and reporting. Resolve complex data issues, manage processes, mentor junior staff, and present status to stakeholders while ensuring regulatory compliance and risk-aware decisions.

Lead data infrastructure and business systems including Salesforce, Okta, ETL, and BI tools. Build analytics/reporting (ARR, renewal schedules, cohort analysis), manage data pipelines and integrations, oversee IT admin across offices, and deliver product and GTM analytics to inform leadership decisions.

The Sr Data Analyst Consultant will focus on data analysis related to data warehousing and ETL processes, requiring prior BA and QA experience, as well as knowledge of billing systems and Time Warner Cable.

The Data Architect will establish data governance, manage master data, define data strategies, and ensure compliance with architecture standards.

Build and maintain scalable data pipelines and Python automations for ingesting, processing, and enriching data. Integrate SaaS sources via APIs, use Databricks/PySpark/Delta Lake and AI tools to power lead generation, enrichment, deduplication, and entity resolution. Collaborate cross-functionally to translate business needs into automated, production-ready solutions.

The Systems Analyst II role involves improving business efficiency through IT solutions, data architecture design, and delivering quality services in health plan business processes.

This role manages MDM/PIM strategies and architectures, ensuring data integration across enterprise systems, governance, and data quality. Responsibilities include overseeing implementation, leading cross-functional teams, and defining data governance frameworks.

The role involves gathering and interpreting financial requirements, supporting month-end closings, and managing stakeholder communications for Accounting processes using PowerPlan.

Design and govern enterprise lakehouse and cloud data platforms (Azure, Fabric). Lead post‑merger data integration, MDM, governance, BI platform administration, DB2/SQL Server modernization, observability, and CI/CD/DevOps for scalable, compliant data operations.

The Data Scientist will apply advanced statistics and machine learning to analyze data, design prediction algorithms, and collaborate with engineering for insights and improvements.