Top Remote Data & Analytics Jobs

As a Junior Analyst, you'll analyze data to uncover insights, build client-ready reports, and support social listening efforts, all while collaborating with various teams.

The role involves leading cross-functional projects, leveraging data analytics, creating insights and dashboards, and enhancing revenue strategies through technology and collaboration.

The Sr. Trade Pricing Analyst collaborates with Sales and Finance to optimize pricing strategies, manage trade promotion contracts, analyze trade spend, and report on profitability to drive revenue growth.

Lead the transformation of data analytics and insights into compelling narratives that drive strategic sales and industry influence. Manage analytics strategy, develop industry perspectives, and produce executive-ready content while collaborating with cross-functional teams.

As a Senior Analytics Engineer, you'll scale reporting infrastructure, transform raw data into insights, optimize SQL queries, and enhance Tableau dashboards, focusing on data quality and collaboration with stakeholders.

The Senior Analyst of People Analytics will manage Visier platform, support data pipelines, validate data accuracy, and develop self-service dashboards ensuring analytical integrity across employee lifecycle processes.

The Staff Data Scientist will oversee Foodsmart's member growth analytics, focusing on marketing and product funnel optimization, experimentation, attribution modeling, and enhancing self-service analytic tools while collaborating closely with leadership and cross-functional teams.

The Actuarial Associate manages risk assessment tools, supports audits, prepares statistical models, and maintains the actuarial data warehouse while assisting the finance department.

The Data Analyst gathers and analyzes data to provide insights for decision-making, focusing on process improvement and technology innovation. Responsibilities include data visualization, statistical analysis, and collaboration with cross-functional teams.

Analyze product and business data to define KPIs, build reliable analytics models and dashboards, and partner with cross-functional teams to surface insights, improve data quality, and support forecasting and experimentation.