Top Hybrid Data & Analytics Jobs

The role involves optimizing and managing Salesforce operations for various departments, driving Quote-to-Cash processes, and ensuring compliance while collaborating with other teams.

Create and maintain forecasting tools and datasets to analyze past consumption and predict future sales trends. Partner with Sales, Production, and Marketing to produce monthly forecasts, identify high-risk business, and support demand planning and reporting.

As a Lead Product Data Analyst, you'll drive data-informed decision-making across teams, develop data products, collaborate on metrics, and influence product strategies.

As a Data Engineer Intern, you'll develop and maintain data pipelines, support ETL processes, analyze data, and complete a capstone project, while learning from experienced mentors.

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

As a Data Engineer II, you will build and optimize data pipelines in Databricks, ensure high-quality data delivery, and support generative AI applications. You will collaborate with data scientists and AI engineers to provide reliable data infrastructures and meet business needs.

The Business Analyst will manage the Quote-to-Cash lifecycle, liaising between IT and functional teams, and ensuring successful implementation of system updates while documenting requirements.

Lead product-focused analytics to drive consumer and seller experience: perform deep statistical analyses, design and run A/B and multi-armed bandit experiments, build scalable data pipelines and dashboards, partner with cross-functional teams, and present insights to executive leadership.

The Lead Data Engineer will design and build the data warehouse, develop ETL/ELT pipelines, and establish data governance and quality practices while building a team to support data-driven growth.

The Analytics Engineer will build data infrastructures, create dashboards, define metrics, structure datasets for AI projects, and foster insights across company functions.