Top Remote Data & Analytics Jobs in Chicago, IL

M1 is looking for a Borrow Operations Analyst with experience in lending to scale and strategize the unsecured personal loans product. Responsibilities include working on the ground floor, strategizing with various teams, balancing risk and needs, and driving efficiencies in processes.

The Data Scientist role at TransUnion involves working on multi-million dollar customer engagements, analyzing quantitative marketing data, and developing expertise in big data, marketing, and consulting. Responsibilities include implementing multi-touch attribution models, marketing-mix models, and experimentation studies to enhance marketing effectiveness and ROI.

A Staff Consultant/Engineer with deep technical expertise in implementing BI and DWH projects. They are proficient at managing small projects and have the ability to gain customer confidence. They are responsible for conducting evaluations, developing testing strategies, integrating source systems, managing client expectations, and producing high-quality project documentation. Additionally, they are involved in training and mentoring junior consultants.

Develop and maintain relationships with key business and industry analysts, drive compelling messaging and value propositions, utilize market research to drive impact, and oversee Analyst Relations strategies for brand awareness and revenue growth.

Join Dropbox Tax as a Senior Tax Analyst - International, responsible for assisting with tax provision, tax accounting processes, tax returns, and international compliance projects. Collaborate with cross-functional teams to evaluate tax impact and support process improvement initiatives. Requires 4+ years of international corporate tax experience and a degree in Finance or Accounting. Strong attention to detail, project management skills, and Excel proficiency are necessary.

The Sr. Data Engineer at Inspira Financial empowers business leaders to make decisions and drive outcomes by delivering data assets efficiently and securely in a cloud enterprise environment. Responsibilities include designing data models, managing enterprise data models, implementing databases and reporting, developing data cloud services, and supporting data governance initiatives using tools like Python, SQL, AWS, Azure, and Snowflake.

Lead a team of developers in designing, developing, testing, and implementing technical solutions using full-stack development tools and technologies. Collaborate with Agile teams to deliver cloud-based data solutions.