Top Data & Analytics Jobs

Maintain and monitor Snowflake data warehouse and ingestion pipelines. Troubleshoot file/load/data quality issues, operate SFTP/drop-zone/file automation, support scheduled loads, build dbt models and tables, document runbooks, and serve as backup for core warehouse operations while collaborating with engineering and IT.

Lead market research and business intelligence for consumer growth: define metrics and dashboards, analyze quantitative and qualitative data, run surveys and user interviews, build financial models and P&Ls, size ROI and pricing, and present actionable recommendations to senior leadership.

Lead business intelligence and market research to inform consumer strategy. Design and run quantitative and qualitative studies, build dashboards and financial models (P&L, pricing, ROI), analyze willingness-to-pay and feature trade-offs, and deliver actionable recommendations to senior leadership. Own metrics, tracking systems, and cross-functional insight execution.

Design and govern scalable Azure-based data platforms and lakehouse architectures, lead data modeling (relational, dimensional, Data Vault), build high-throughput batch and streaming pipelines, enable data governance and security, integrate analytics/ML feature stores and LLM gateways, and partner with engineering and business teams to deliver production-ready data products and Power BI semantic layers.

Build and maintain data pipelines and ETLs using SQL and Python, create and update dbt data models, translate business needs to technical specs, deploy and test changes, monitor and improve pipelines, and support cross-functional reporting and analytics.

Lead development of enterprise data and analytics systems using Snowflake and Python. Build and optimize data pipelines on AWS (Lambda, Step Functions, ECS), write advanced SQL, and apply domain knowledge of asset management and financial markets.

Lead liaison between business and technology for Data Services, translating strategic objectives into data, analytics, and reporting initiatives. Drive requirements gathering, solution design, prioritization, testing, delivery coordination, and adoption while partnering with Data Engineers, Architects, Governance, and Finance/HR stakeholders to ensure measurable business value.

Design, build, and maintain scalable Python-based data pipelines and ETL processes. Ensure data quality, performance, and reliability while developing APIs, databases, and documentation. Collaborate across teams, perform code reviews, troubleshoot and debug production issues, and implement CI/CD and cloud orchestration solutions.

Build instrumentation and batch/streaming ETL/ELT pipelines and REST API integrations to generate audience and trigger data for CRM/marketing automation. Ensure data quality, monitoring, and reliability at scale while collaborating with CRM, campaign, and operations teams.

Lead strategic analysis, scenario modeling, and executive reporting for Customer Office (Success, Renewals, Support, Services). Build financial and operational models, develop analytical frameworks and BI dashboards, manage planning and forecasting, drive performance management and data governance, and partner cross-functionally to inform executive decisions and operational improvements.