Top Hybrid Data & Analytics Jobs

The Senior Analyst Pricing Business Partner develops and executes pricing strategies, influences decisions, provides analytical insights, and collaborates with merchants to maximize category performance and profitability.

The Data Engineer will lead data projects, collaborate with stakeholders, develop data transformations, and maintain data quality for business needs.

The role involves designing data pipelines, developing metrics and visualizations, collaborating with teams to track product KPIs, and ensuring data integrity within a cybersecurity environment.

Lead strategy and analytics for branch distribution by framing problems, building production-grade SQL/Python data pipelines, producing decision-grade analyses and Power BI dashboards, and turning insights into measurable business recommendations while ensuring data quality and governance.

The Senior Analytics Assistant will improve processes, manage reports, conduct vendor performance analysis, and support team effectiveness in a hybrid role.

The analyst supports the GM Envolve team by managing fleet data, preparing reports, and addressing requests to inform sales decisions.

The Economist will analyze travel and spending data to identify trends, craft insights, and present findings, serving as an economic advisor to leadership.

The Business Analyst II will partner with the AI Product team to analyze data, drive product decisions, and enhance AI-driven member experiences through insights and recommendations.

As a Clinical Data Manager, you'll lead data governance for clinical studies, ensuring data integrity, compliance, and readiness for analysis. You'll manage data architecture, oversee database operations, and collaborate with cross-functional teams to enhance clinical data processes.

Seek a Lead Analytics Engineer to design and build scalable data solutions, oversee data engineering, and collaborate with cross-functional teams to meet data needs.

Manager of Data Platform Engineering responsible for ensuring data reliability, leading a data engineering team, setting platform standards, and collaborating with internal stakeholders to enhance data capabilities.

The Intelligence Analyst 2 will review intelligence reports, develop data projections, provide analysis, and create reports tailored to customer requirements.

The role involves developing advanced statistical models, leveraging analytic techniques, and synthesizing results for clients. It includes mentoring associates and guiding project deliverables.