Top Data & Analytics Jobs in Chicago, IL
The Sr. Analyst, Diner Pricing role involves developing and implementing pricing strategies to enhance business outcomes, analyzing data, and driving communication across various functional areas. Responsibilities include executing pricing strategies, partnering with teams for alignment, and synthesizing insights for impactful decision-making.
As a Senior Data Scientist at Grubhub, you will work with the Discovery and Ads teams to enhance restaurant recommendations and ads for users. Responsibilities include creating metrics for model performance, proposing new algorithms, designing A/B tests, and mentoring junior data scientists. You'll collaborate closely with engineering and product teams to innovate and improve user experience through data insights.
As a Senior Analyst in the Growth team, you'll drive analytics to inform marketing strategies, support ongoing tracking towards goals, and evaluate marketing initiatives. You'll use your quantitative skills to influence decisions across multiple stakeholders, focusing on business outcomes and effective narrative communication.
As a Quantitative Research Analyst, you will develop and improve mathematical models for trading strategies, implement and back-test these models, conduct statistical analysis, and utilize unconventional data sources for innovation in quantitative research.
As a Quantitative Researcher, you will develop advanced models and trading strategies, implement trading signals, utilize unconventional data sources, and conduct statistical analysis to improve trading systems. Strong analytical skills and a quantitative background are essential.
Quantitative Researchers analyze financial markets and build predictive models using advanced statistical techniques. They optimize multi-asset portfolios and develop sophisticated algorithms to capitalize on investment opportunities.
The Machine Learning Engineering Specialist at ZS will design and implement ML features, collaborate with client teams, write production-ready code, ensure deliverable quality, conduct testing, participate in agile ceremonies, evaluate new technologies, and support project architecture.
The role involves delivering projects in pharmaceutical CMC development, acting as a subject matter expert in drug manufacturing, managing teams and projects, and contributing to practice development. Responsibilities include presenting to executives, conducting data analytics, and ensuring regulatory compliance.
As an Applied AI Scientist at ZS, you will develop advanced algorithms for data analysis, execute statistical techniques, evaluate emerging datasets, and contribute to thought leadership by researching and publishing on relevant topics.
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As a Research Scientist at Tempus, you will support Organoid Based Screening by working in an interdisciplinary team to employ gene-editing techniques, design high-throughput workflows, analyze large datasets, and generate reports for commercial partners.
The Senior Business Intelligence Engineer II will design, develop, and administer advanced analytics dashboards and reporting tools. Responsibilities include collaborating with stakeholders, building data views for reporting, ensuring data governance, and solving analytics-related challenges in a fast-paced environment.
As a Data Security Analyst at Tempus, you will enhance the company's security posture by evaluating, testing, and documenting security solutions. You will support insider risk management, collaborate with IT on security measures, analyze data sets for actionable insights, and ensure compliance with regulatory frameworks. Your role involves recommending improvements to existing security controls and assisting in policy development.
The Head of Edge Data Strategy and Solutions will drive the strategy and management of data partnerships, expanding DaaS offerings, leveraging Generative AI for growth, and ensuring exceptional client experiences on a global scale. They will foster collaboration and innovation within the team, focusing on continuous improvement and transformation.
The Sr. Business Analyst will work with stakeholders to gather business requirements, manage technical projects, facilitate communication between teams, and utilize data insights for process improvement. They will also support the development of automated tools and ensure compliance with industry standards.
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As an AI Researcher at DRW, you will develop and test AI models and algorithms, construct data pipelines, evaluate model performance, and collaborate closely with your team. You will also stay informed on the latest AI techniques and contribute to improving research processes, all while receiving mentorship and participating in a robust training program.
The Data Science Analyst will work with management on analytical initiatives, developing reports and dashboards while identifying opportunities for business improvement using various analytical techniques. Responsibilities include customer segmentation, optimization, and predictive analytics to enhance strategies and performance.
The Principal Data Management role involves designing and implementing a long-term enterprise data management and governance program. Responsibilities include developing data quality applications, managing relationships with federated data governance groups, and partnering with external vendors to enhance the program's maturity.
The Data Engineer is responsible for designing, developing, testing, and maintaining complex data solutions. They manage risks, lead code reviews, develop data integration solutions, and participate in agile ceremonies, while mentoring peers and influencing technical decisions across teams.
Lead meetings with cross-functional teams to drive decision-making and alignment on supply forecasts. Set key target levels across supply chain, assess safety stock need, and establish inventory strategy for key items. Develop and execute supply step in Sales and Operations Planning process.
The Sr. Data Product Analyst at Chamberlain Group will collaborate with business partners to develop data-driven solutions, create data models and dashboards, ensure data accessibility, and lead data product adoption. The role involves acting as a subject matter expert in data products and influencing business decisions through data insights.
The IT Customer Experience Analyst will lead the digital adoption initiatives, focusing on improving user engagement with digital services. Responsibilities include managing the 'Go Digital' campaign, ensuring timely execution of action plans, tracking progress, measuring success, and reporting updates to leadership. The role emphasizes user training and minimizing call escalation to customer support.
The AI Data Engineer will lead the development of datasets for AI training and testing, collaborating with engineering and product teams to define data specifications, optimize processes, and automate the data lifecycle. Responsibilities include managing data annotation quality, gathering various types of data, and improving efficiency in data handling.
As a Global Services Data & Business Analyst, you'll assist the Global Services Business Intelligence & Operations team by conducting quantitative analysis, developing key performance indicators, creating data visualizations in Tableau, and collaborating with various stakeholders to outline project milestones. Your role involves ensuring data accuracy and integrity, as well as automating reports.
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