Top Hybrid Senior Level Data & Analytics Jobs

The Billing Analyst ensures accurate monthly billing, manages billing software systems, analyzes data, and provides support to members regarding billing issues.

The Software Architect will design and implement enterprise data architectures, build scalable data pipelines, establish governance standards, and mentor teams to enhance analytics capabilities.

The Product Data Scientist will manage experimentation and analytics, focusing on A/B testing, product evaluation, and translating data into strategic recommendations for growth and risk management.

The Director leads the Social Intelligence Analytics team, advising clients, managing projects, and utilizing AI to derive insights from social media data.

Drive marketing performance measurement and attribution by building dashboards, standardizing campaign tracking across HubSpot and Salesforce, running funnel and cohort analyses, ensuring data integrity, and delivering executive reporting to connect marketing activity to pipeline and revenue.

The role involves identifying automation opportunities, translating business needs into workflow improvements, and implementing solutions using Microsoft tools to enhance operational efficiency and customer engagement.

Lead the Knowledge Access Team in managing Confluence and adjacent platforms, optimizing data processes for AI integration, and improving content governance.

The Senior Marketing Data Scientist will own marketing measurement frameworks, conduct incrementality tests, and generate insights to optimize marketing spend across multiple channels.

The Senior Data Engineer will build and manage data pipelines, optimize data structures, automate workflows, and collaborate with teams to ensure data reliability.

The role involves leading analytics, managing data pipelines, ensuring data quality, and translating data into actionable insights for business impact.