Top Hybrid Data & Analytics Jobs

The Associate Manager will provide category insights, develop strategic recommendations, and collaborate with teams to drive growth for Warehouse categories. Responsibilities include data analysis, planogram creation, and joint business planning.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

Lead the development and deployment of data solutions with Palantir Foundry, driving projects, mentoring teams, and engaging with clients to solve complex problems.

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

The Senior Snowflake Data Engineer designs and optimizes Snowflake architecture and pipelines, ensuring data governance and performance across Marketing and Sales teams.

Support and enhance MetLife's Apptio Financial Management Platform, focusing on Costing and Planning modules. Responsibilities include configuring models, enhancing dashboards, and ensuring data accuracy for financial insights.

Lead analytical studies to enhance Snap's SMC business, mentor a team of analysts, and develop data-driven strategies to inform growth and sales decisions.

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

Lead consumer insights strategy for 2K's franchises by designing qualitative and quantitative market research, providing insights, and advising key business decisions.

The Business Intelligence Engineer III will design and implement data models, provide insights through BI tools, and document data solutions for marketing analytics.

The Senior Data Engineer will build and optimize data pipelines, ensure data integrity, and collaborate with stakeholders to meet business requirements while implementing best coding practices.

Work with client and internal teams to design and implement enterprise data solutions. Lead workstreams, translate business problems into technical designs, support delivery activities (architecture, prototypes, test plans, deployment), mentor junior staff, and apply best practices across cloud, data platforms, and visualization tools.