Top Remote Data & Analytics Jobs in Chicago, IL
Seeking a Staff Machine Learning Engineer/Architect to lead the Machine Learning and Artificial Intelligence R&D strategy at Qualtrics. Responsibilities include designing AI architectures, frameworks, and algorithms, evaluating AI technologies, collaborating across teams, and deploying ML systems in production.
Organize and manage business operations for the global Sales function, focusing on clean and accurate reporting as deal complexity grows. Responsible for forecast and inventory projections, data cleanliness, and supporting creation of CRPO and forecast readouts. Execute operational aspects of the Global Forecast Operational Cadence and ensure consistency across GEO Reporting teams.
The Data Engineer II at Wipfli is responsible for designing, building, and deploying Business Intelligence solutions. They work closely with business stakeholders to turn data into critical information for organizational decisions. Responsibilities include developing data models, ETL operations, ensuring data accuracy, and testing BI solutions. Proficiency in Microsoft Power BI, T-SQL, Azure Data Factory, and Databricks is required. A Bachelor's Degree in IT or related field and 3-5 years of experience are also necessary.
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Seeking a Senior Data Engineer with 5+ years of experience in Data Engineering. Responsibilities include working with SQL, Python, building ETL/ELT pipelines on big data platforms, problem-solving for performance optimization, and collaborating across development activities. Must have a B.S. or equivalent in a technical field.
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.
As a Data Analyst in the Customer Insights team at Arcadia, you will prepare, analyze, and visualize healthcare data to uncover insights, collaborate with marketing on data analytics projects, and showcase the impact of Arcadia's products through data analysis.
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.
Lead workstreams for module deployments in Workday HCM, optimize projects, serve as an advisor, build consensus, communicate capabilities, configure applications, interact with client experts, collaborate with resources.
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.
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