Top Data & Analytics Jobs

Leads data governance for assigned business domains, including metadata management, business glossaries, data classification, lineage, catalog administration, quality monitoring, issue remediation, and governance documentation. Partners with business and technology stakeholders to establish standards, assess initiative impacts, resolve data issues, report quality metrics, and improve enterprise data trust and governance maturity.

Develop and deploy containerized data applications and pipelines, including Kubernetes deployments, monitoring, optimization, and AI-powered features using LLMs. Collaborate with data scientists on data architectures and tools, troubleshoot pipeline issues, and build Streamlit prototypes. The role also requires staying current with AI, data engineering, and cloud computing practices.

Manage client data and intelligence workstreams involving social listening, reputation monitoring, primary research, polling, and AI-powered analysis. Translate monitoring and research data into strategic insights, reports, briefings, and communications recommendations. Coordinate multiple client projects, collaborate with communications and media teams, mentor junior staff, support business development, and monitor emerging trends in GEO, AI discovery, and reputation management.

Manage data and operations for the CUNY Beyond initiative at Kingsborough Community College. Responsibilities include creating and improving workflows, building data systems and pipelines, developing dashboards and reports, tracking implementation outcomes, analyzing performance metrics, configuring student and customer technology platforms, and providing actionable insights. The role also supports reporting, proposal development, stakeholder communication, user guidance, and cross-functional collaboration across the college, CUNY Central, and external partners.

Own digital measurement and experimentation across four Shopify storefronts. Build GA4 and Google Tag Manager architecture, maintain tracking accuracy, define shared metrics, design and analyze experiments, and lead weekly digital insights meetings. Partner with BI, advertising, data engineering, merchandising, UX, CRM, and IT on customer analytics, paid measurement, ERP reconciliation, launches, site performance, and lifetime value analysis.

Lead the enterprise data architecture roadmap and Snowflake-based data platform supporting commercial, medical, finance, R&D, quality, and corporate functions. Oversee data modeling, integration, ETL/ELT, governance, master data management, data quality, reporting, analytics, and AI-ready data products. Provide technical leadership, review designs and code, manage vendors and implementation partners, establish standards, and mentor technical staff while enabling commercial launch readiness and scalable enterprise reporting.

Own end-to-end analytics delivery through production-grade dbt data models, governed Tableau dashboards, and AI-enabled analytics solutions. Translate business requirements into data products, maintain testing and lineage standards, manage CI/CD workflows, integrate MetricFlow metrics, and partner with stakeholders across Marketing, Revenue, Customer Success, Finance, and Product. Mentor analysts and support self-service analytics adoption. The role includes periodic onsite visits to a San Francisco private equity office.

Manage end-to-end data operations, including collection, processing, delivery, pipeline optimization, and data quality monitoring. Collaborate with engineering, product, and operations teams to improve data workflows, identify inefficiencies, and implement scalable solutions. Analyze data to provide actionable insights for decision-making and AI model development while communicating technical issues to non-technical stakeholders.

Designs, builds, and maintains scalable data platforms and resilient pipelines using Medallion architecture, Databricks, Apache Spark, Parquet, Iceberg, and Delta Lake. The role includes database optimization for PostgreSQL and SQLite, data quality and performance monitoring, ETL/ELT development, troubleshooting, documentation, and collaboration with analytics stakeholders.

Designs, develops, and maintains scalable ETL pipelines, data lakes, warehouses, and integrated data solutions. The role includes requirements analysis, Agile collaboration, testing, debugging, documentation, cloud data engineering, and optimization of reliable and performant systems. It requires strong Python, SQL, database, distributed processing, data engineering, software development, and cloud platform skills, along with effective communication and problem-solving abilities.