Top Remote Senior Level Analytics Jobs in Chicago, IL

Manager, Data Integration role at Arcadia, responsible for leading a team of data engineers in implementing and supporting EHR connectors. The role involves overseeing building, testing, and deployment of connectors and ingestion pipelines, engaging in sprint planning, and serving as a key member of the connector leadership team. Additionally, the role includes providing hands-on oversight for connector work with customers and developing policies and procedures to achieve team and company objectives.

Lead centralized Data functions for Square including Data Science + Analytics, Machine Learning, and Data Engineering teams. Architect Square's Data strategy, drive technical roadmap, establish data governance principles, enhance product innovation, deliver impactful insights, attract and develop top-tier data team.

Lead centralized Data functions at Square, overseeing Data Science, Analytics, Machine Learning, and Engineering teams. Develop data strategy, drive insights for business decisions, and build top-tier data team.

Lead Data Solution Architects for various worksites throughout the US, combining digital and marketing analytics knowledge to deliver analytic reporting to clients. Responsibilities include data analysis, visualization design, software utility creation, and more.

Leading a team of data and infrastructure engineers in the overall delivery of data solutions for advanced data science and analytics. Working on transforming transportation by analyzing massive data sets and collaborating with diverse product teams to create innovative products.

Build and be responsible for forecasting Chime’s member funnel, implementing new forecasting processes, scenario planning, and analyzing financial KPIs. Collaborate with various teams and partners to drive business decisions based on data insights.

Seeking a Director of Data Science to lead a team in leveraging data for business decisions, optimizing marketing strategies, and driving revenue growth. Must have experience in customer lifecycle analysis, digital campaigns, and growth analytics in a SaaS environment. Responsibilities include developing quantitative models, identifying trends, and building data foundations for long-term growth.