Top Data & Analytics Jobs

Lead analytics for Wealth Solutions: analyze client segmentation, revenue, and operational data; build models for capacity and workforce planning; produce insights and recommendations for senior leadership; partner with BI and Finance to improve advisor productivity, client experience, retention, and revenue growth; support strategic projects and translate complex data into clear presentations.

Build and maintain analytics-ready data models in Databricks, including Gold and Platinum layers, semantic metrics, AI/BI datasets, and documentation. Develop SQL and Python transformations, validate data against systems of record, maintain lineage, troubleshoot Redshift assets, and support Tableau reporting. The role requires collaboration with business stakeholders, adherence to data modeling and governance standards, and communication of technical concepts to nontechnical audiences.

Develops and supports ETL workflows, REST APIs, backend services, AWS file-transfer automation, legacy applications, and data-processing systems. Troubleshoots production issues, manages deployments across environments, improves monitoring and recovery, and documents technical systems. Requires SQL, relational database, API, data integration, batch-processing, and production support experience, along with U.S. citizenship and the ability to pass a Public Trust investigation.

Provides intermediate-level analysis, implementation, integration, support, and troubleshooting for business systems and data solutions. Translates business requirements into technical specifications, supports system development lifecycle activities, manages changes and releases, resolves production issues, documents IT processes, and collaborates with business and IT teams. The role uses SQL, ETL, Databricks, Azure, relational databases, BI tools, and ServiceNow.

Manages Finance analytics engineering and automation, building governed Snowflake and SQL data products, consumption layers, reconciliations, controls, workflows, and integrations. Partners with FP&A, Data Engineering, and business teams to translate Finance requirements into reliable technical solutions. Leads lineage analysis, testing, monitoring, documentation, AI-assisted workflows, production support, and team development while maintaining clear ownership between Finance and enterprise data teams.

The Associate Director will lead AHP’s analytics and data products domain, building curated datasets, transformation pipelines, semantic models, dashboards, and automated reporting. Responsibilities include delivering client and enterprise data products, establishing reporting standards, managing production refreshes and documentation, coordinating data engineering resources, and supporting AI initiatives. The role is hands-on, client-facing, and requires technical leadership across distributed project teams.

Leads Lexia’s business analytics and data strategy function, managing analysts and overseeing data engineering alignment. Owns BI strategy, Tableau governance, data governance, self-service dashboards, AI-enabled analytics, metric definitions, and data quality. Partners with Sales, Marketing, Customer Success, executives, and analytics engineering to translate business needs into insights, KPIs, models, and actionable recommendations. Manages analytics tools and vendors while ensuring responsible, secure, and effective use of enterprise data.

Develop and maintain customer audiences using SQL and PySpark in Databricks. Build and monitor data workflows feeding LiveRamp and other onboarding platforms, validate audience quality, analyze segmentation performance, and document reusable audience logic. Collaborate with data science, engineering, marketing, and strategy teams to operationalize model outputs and support CRM, media, and personalization activation.

Build and maintain Microsoft Fabric data pipelines, Lakehouse and Warehouse solutions, ingestion frameworks, Bronze/Silver/Gold data layers, transformations, dimensional models, and data-quality controls. Integrate ERP, CRM, manufacturing, construction, and other enterprise systems. Implement security, governance, DevOps, monitoring, documentation, and production support while partnering with architects, analysts, Power BI developers, and business stakeholders.

Executes ad effectiveness studies, analyzes media measurement data, and presents actionable insights to publishers and advertising platform clients. Manages 3–5 accounts, develops reports on advertising metrics, supports sales positioning, collaborates with analysts and product teams, and maintains client relationships while ensuring accurate, timely deliverables.