Top Remote Senior Level Data & Analytics Jobs in Chicago, IL

As a Senior Business Intelligence Engineer at Cash App, you will be responsible for creating and optimizing data models, standardizing business metrics, building data pipelines, promoting best practices, and creating dashboards to drive business decisions. This role requires 5+ years of industry experience in complex ETLs and proficiency in SQL, Python, and Java.

The Sales Strategy Manager is responsible for overseeing effective operating procedures for the Beyond Finance Sales Department’s call center and implementing process improvements to drive revenue growth. They will collaborate with key stakeholders to deliver holistic solutions and provide executive-level reporting. The ideal candidate has experience executing strategic and operational initiatives, strong problem-solving skills, and excellent communication abilities.

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.

Join Square as a Senior Data Scientist in the Payment Risk team. Use advanced statistical techniques to improve risk controls, prevent fraud, and influence product roadmaps. Develop data pipelines, ETLs, and machine learning solutions to protect sellers from bad actors. Collaborate with cross-functional teams to drive innovative risk solutions and enhance the seller experience. Ideal for experienced professionals with a strong background in statistics and machine learning.

Join our world-class Data Science team at Atlassian to drive insights about products and customers. Collaborate with cross-functional partners, apply technical expertise in quantitative analysis, and shape product development. Required qualifications include 8+ years of experience, proficiency in SQL and Python/R, expertise in storytelling with data, and proven impact on business strategy through analytics.

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.