Top Hybrid Data & Analytics Jobs

As a Salesforce Systems Analyst, you'll enhance CRM workflows and systems, collaborating with Sales and Account Management teams to improve operational efficiency by translating business needs into scalable solutions.

The Director of Strategy & Analytics will lead analytics efforts, conduct data analyses, and collaborate cross-functionally to deliver actionable insights for business growth.

The Business Analyst will analyze business data, document requirements, provide insights, and support cross-functional teams. They will also guide junior members and adapt to fast changes.

As a Data Engineer at Edmunds, you will architect and maintain data platforms for analytics and AI/ML, ensuring scalable, reliable data processing and supporting cross-functional collaboration.

Lead the analysis and enhancement of Anaplan models, translating business needs into specifications and ensuring data integrity while managing strategic projects.

Lead and grow a marketplace growth analytics team to drive product and marketplace performance. Define success metrics, own experimentation strategy, deliver rigorous analyses (forecasting, causal inference, predictive modeling), partner with Product/Engineering/Finance, and translate insights into prioritized product decisions and reliable reporting. Balance strategic leadership with hands-on analytics and embed measurement into the product development lifecycle.

The Research Specialist will assist the research team at Applecart in delivering data and strategic tools to stakeholders through research tasks, data entry, and by identifying publicly available data sources.

The Platform Intelligence Engineer designs and maintains data infrastructure to support decision-making, analyzes data for performance metrics, and collaborates with stakeholders to operationalize insights.

As a Data Analyst, you'll drive data insights for product development at Grow Therapy, supporting reporting and experimentation projects.

The Data Engineer will design and build scalable data systems, contribute to the architecture of the data platform, and collaborate with AI/ML engineers to enhance automation and intelligence in Canoe's systems.