Top Remote Analytics Jobs in Chicago, IL

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.

The Reporting Analyst at Inspira Financial is responsible for building business intelligence through the creation of business insights using technical knowledge. They will create foundational reports and knowledge for business purposes, extract data from back-end databases, create clear reports, and help business users understand the data. The ideal candidate will have a strong understanding of data warehouse structures, SQL, and Business Objects reporting platforms.

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.

The Senior Data Operations Specialist at ServiceNow plays a significant role in evolving data services and capabilities for AI and Machine Learning solutions, providing support to engineering teams, and ensuring superior service in handling customer datasets.

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.

Responsible for monitoring customer portfolio, designing risk analysis, leveraging machine learning models, collaborating with cross-functional teams, and implementing innovative strategies. Must have a degree in business, finance, economics, statistics, or computer science, strong analytical and data science skills, hands-on experience with SQL, R, Python, and problem-solving abilities.