Top Remote Analytics Jobs in Chicago, IL
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As a Senior Data Scientist at StackAdapt, you'll focus on building predictive models to enhance business operations, identify high-potential customers, and implement time series forecasting. The role requires collaboration with internal teams and coding production-ready algorithms. You need a strong data science background and a willingness to turn ambiguous tasks into actionable steps.
As a Data Architect, you'll design data-intensive applications in Azure, lead data architecture projects, mentor team members, and craft enterprise data strategies while implementing data governance and security measures.
As an Analytics Engineer, you will build and manage reporting data models and infrastructure using Snowflake, create reports using Looker, and support data integration with a focus on minimizing development cycles. You will also train team members on data models and maintain relevant documentation.
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The Data Analyst will design and implement the company's data pipeline and ETL processes, collaborating with various teams to promote data-driven decision-making. Responsibilities include developing SQL queries for reports, optimizing data flows, and evaluating infrastructure tools for analytics.
The Support Analyst provides front-line Level 1 support to internal and external users, managing help requests, documenting issues, and ensuring timely responses per established SLAs. They work with the Support Desk Team to enhance customer experience and operational efficiency.
The Treasury Analyst, Capital Strategy will manage credit facilities and the investment portfolio, work on capital market transactions, monitor investments, and cover cash management processes. Responsibilities include preparing reports, conducting analysis, and maintaining relationships with financial counterparties.
The Manager of Marketing Technology and Data Operations oversees the marketing technology stack at Berklee College of Music, managing platforms like Salesforce Marketing Cloud, optimizing data capture, and ensuring effective marketing campaign execution. This role involves collaboration with stakeholders to enhance workflows, improve customer engagement, and support data-driven decision-making.
As a Senior Data Analytics Engineer, you will design and maintain ETL processes, ensure data accuracy, and provide actionable insights. You will work with various programming languages, optimize workflows, and collaborate with cross-functional teams to meet data requirements. Your role will also involve deploying solutions in a Kubernetes environment and performing advanced data analysis.
The Senior Data Analyst will leverage quantitative data analysis across multiple sources to provide insights for business leaders, develop executive dashboards, and collaborate with engineering on data solutions, driving metrics to inform strategies in areas such as Marketing and Sales.
As an Analytics Engineer at Loop, you'll model raw data into clean datasets for analytics, collaborate with data teams, and support data projects, ultimately helping merchants with insights and solutions. Your role will dynamically evolve as the company grows.
Top remote Companies in Chicago, IL Hiring Data + Analytics Roles
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