Top Remote Data & Analytics Jobs in Chicago, IL
As an Applied Data Scientist, Analytics Engineer, you will execute client engagements, focusing on data modeling, building predictive models, and deriving insights from analyses. You will collaborate with cross-functional teams to create scalable solutions and maintain proficiency in statistical techniques and programming languages. This role involves working with large datasets and requires strong communication skills.
The Workday Reporting & Analytics Principal Consultant will lead the design and implementation of analytical solutions within Workday, mentor other consultants, support HCM and financial implementations, and engage with clients to analyze requirements and provide solutions. The role emphasizes customer service and expert reporting skills to deliver superior results.
In this role, the Senior Manager of Data Engineering will lead and expand a team of engineers, design data strategy and architecture, and collaborate with technical leaders to enhance data infrastructure and support business growth.
The Principal Researcher will enhance research by analyzing publications, evaluating research ideas, implementing prototypes or production software, and communicating findings. The role requires collaboration with researchers and the application of knowledge in cryptography, distributed systems, and algorithms.
As a Data Analyst at Federato, you will design and maintain dashboards, lead the development of analytics products, collaborate with product teams to integrate analytics into existing workflows, and work with the data science team to monitor ML model performance. Strong dashboard development and statistical analysis skills are essential.
The Solutions Associate will develop and deliver data-driven insights products for clients. They will collaborate with marketing, sales, and data product teams to provide actionable insights and recommendations.
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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.
Top remote Companies in Chicago, IL Hiring Data + Analytics Roles
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