Top Remote Data & Analytics Jobs in Chicago, IL
The Research Associate role at a new AI startup involves data collection, QA, data analysis, and improving AI interactions with humans. This position offers opportunities for career advancement and learning new software skills on the job.
The Revenue Operations Analyst will manage and optimize the Marketing Ops, Sales Ops, and Customer Success Ops at Wonderlic. Responsibilities include overseeing the RevOps tech stack, ensuring compliance with processes, onboarding team members, streamlining operations, and setting up insightful dashboards.
The Data Engineer will be responsible for analyzing and converting customer data onto the enterprise software platform, focusing on ETL solutions and establishing best practices for data conversion. Tasks include collaborating with analysts, leading customer sessions, executing data profiling, and managing multiple projects while ensuring data quality.
As a Data Analyst III at Calendly, you will leverage data visualization and analytics to support cross-functional reporting and ad hoc analyses. Your role includes building dashboards in Tableau and Hex, performing complex analyses using SQL, Python, or R, and defining business metrics in dbt. You will also communicate insights effectively to promote data-driven decision-making across the company.
Lead the Data Science team, developing AI models and statistical systems while collaborating with cross-functional teams. Drive research and data strategies that enhance product effectiveness and farmer profitability.
The Senior Data Engineer will build datasets and ensure quality data accessibility for product teams and data scientists. Responsibilities include designing data structures for the data warehouse, creating ETL processes, and collaborating with various teams to meet data needs and support business analytics efforts.
The Senior Data Analyst will predict revenue and margins to guide marketing and sales decisions, providing actionable insights and solutions to improve business decisions. This role involves analyzing data, maintaining performance reports and dashboards, and collaborating with various teams to drive data-driven strategies.
As a Data Engineer at Legalist, you will design and develop scalable data pipelines, collaborate with cross-functional teams to meet data needs, and optimize data pipeline performance. Responsibilities include developing ELT processes, participating in agile development, and applying best practices in data modeling.
The Manager will lead marketing analytics projects, maintain client relationships, oversee data science teams, and implement business strategies to enhance client performance. Responsibilities include managing data scientists, driving strategic consulting initiatives, and fostering team development.
The Computational Scientist will develop computational methods for catalysis material design and optimization, leading workflows and collaborating with teams to enhance existing procedures. Responsibilities include preparing reports, supporting business functions, engaging in client research, mentoring junior staff, and collaborating with software engineers.
Top remote Companies in Chicago, IL Hiring Data + Analytics Roles
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