Top Data & Analytics Jobs

Design, build, and own the full data platform (ingestion, modeling, CI/CD, orchestration, observability, and BI). Implement streaming and batch pipelines for IoT data, enable governed self-service, enforce data governance/privacy/security, evolve AI access patterns, and provide technical leadership and mentorship to data engineers and data scientists to deliver production-ready analytics and ML capabilities.

Lead the vision, design, and development of customer-facing business intelligence dashboards and analytics solutions. Partner with clients and internal stakeholders to demonstrate product value, revenue, retention, and performance. Collaborate with product and engineering teams to deliver secure, scalable reporting experiences while contributing to cross-functional projects, data analysis, and stakeholder presentations.

Supports enterprise data initiatives through data quality checks, cleanup, documentation, dashboards, reporting, and prototype development. Learns data governance, security, cloud platforms, SAP, analytics tools, and system integration. Collaborates with senior IT leaders and cross-functional teams while developing foundational skills in Python, SQL, data preparation, cloud technologies, predictive analytics, and enterprise applications.

Analyze sales, marketing, and customer success performance, including pipeline, funnel conversion, campaigns, retention, and revenue drivers. Build and maintain dbt models and marts using Salesforce and modern data-stack tools, while owning data quality and documentation. Contribute to Lighthouse, a BI-as-code platform, and develop AI-assisted analytics workflows. Partner with stakeholders to frame ambiguous questions, deliver recommendations, and communicate progress in two-week sprints.

Analyze healthcare claims and clinical data to build data models, analytical pipelines, predictive and risk-model inputs, dashboards, scorecards, and reusable analytics assets. Translate ambiguous customer and clinical questions into actionable data plans, manage delivery across stakeholders, present findings to customers, maintain quality standards, mentor junior analysts, and contribute to analytics roadmaps, automation, and scalable methodologies.

Build and maintain scalable data and AI platforms, including data models, schemas, vector stores, knowledge bases, ETL/ELT pipelines, feature pipelines, embedding pipelines, and evaluation datasets. Integrate data systems with machine learning and LLM applications, support analytics and RAG systems, and implement security, privacy, and governance controls. Collaborate across leadership, engineering, finance, and data science teams to deliver reliable AI-ready data foundations.

Build, optimize, and support scalable batch and streaming data pipelines for enterprise workforce, billing, and interaction datasets. Develop cloud-native solutions with AWS, Databricks, PySpark, Kafka, Kubernetes, and Airflow while processing tens of terabytes of data. Provide production support, performance tuning, troubleshooting, and data platform automation. Collaborate across Product, Governance, Analytics, and Engineering teams, support data warehousing and reliability practices, participate in architecture decisions, and mentor junior engineers.

Lead IEX's Market Data, Access & Member Services team, focusing on driving revenue growth, strategic market data initiatives, and enhancing client services.

The Director of Business Development will define, negotiate, and secure partnerships to expand adMarketplace's search and performance advertising across various platforms while ensuring alignment with company goals and operational integration.

The Manager, Identity Fraud Strategy oversees identity verification and authentication strategies, leads a fraud analytics team, and partners with CIAM to minimize fraud while enhancing customer experience.