Top Data & Analytics Jobs in Chicago, IL
As a Data Orchestration Lead, you will be responsible for implementing cutting-edge Data Orchestration solutions, leveraging PEGA and integrating with S4 systems. Your role involves planning, executing initiatives, managing strategy and technology capabilities, and ensuring seamless integration of data processes across teams. You will also be responsible for cost control, product fit for purpose, and promoting new solutions delivery. This role requires a 4-Year Degree in Data Management or IT with 10+ years of experience in Data Management/Data transformation, 5+ years in Agile, and experience in partnering with business functions on transformations.
The Advanced Analytics and Data Science Platforms Manager at Mondelēz International is responsible for overseeing platform-related activities, multi-cloud integration strategies, and efficient administration of analytics and data science platforms. The role involves collaborating with cross-functional teams, managing user access, resource allocation, performance optimization, security and compliance, integrations, troubleshooting, upgrades, documentation, and training.
As a Senior HR Analyst at Kraft Heinz, responsible for driving people-related activities, talent development, change management, organizational efficiency, and culture of ownership. Lead strategic HR projects, analyze data, manage employee relations, and coordinate people budgets. Must have HR experience, excellent interpersonal skills, and strong technological proficiency in Microsoft Excel and PowerPoint.
As a Data Analyst on the Banking Cash Flow team at Square Banking, you will partner with cross-functional stakeholders to gain deep insights into customers, drive data-informed decisions, and deliver a cohesive cash flow home experience.
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Lead Quality Analyst responsible for overseeing QA Analyst group and release management of mobile products. Must ensure mobile software contains no errors and actively participate in creating quality assurance standards.
As a Senior Data Analyst at Square Banking, you will partner with cross-functional teams to drive data-informed product and marketing decisions, monitor product performance, and communicate key business drivers. This role involves developing a deep understanding of cash flow products and using data analytics to optimize features and funnels.
Seeking a Senior Machine Learning Platform Engineer to join the Machine Learning Foundations team at a company focused on economic empowerment. Responsibilities include building self-service tooling for the model lifecycle, collaborating with internal teams, leading architectural discussions, mentoring teammates, and more.
As a Senior Manager in Data Analytics & Technologies within Healthcare, Pharma & Life Sciences, you will align client data strategies with business objectives, assist in platform selection, define data needs, and migrate to modern cloud data environments using various cloud providers.
Lead Data Scientist responsible for applying innovative data science techniques to advance business objectives and transform priority opportunities into incremental business value. Collaborate with business partners to design, develop, and deploy advanced analytics solutions using statistical and machine learning methods. Direct activities of data scientists and ensure quality and consistency of solutions. Minimum qualifications include a Master's degree in data science or related field and 5+ years of relevant work experience.
The CPQ Business Systems Analyst role focuses on deploying and supporting sales tools within Salesforce and CPQ to enable sellers to sell more efficiently and effectively. Responsibilities include new tool deployment, user training, gathering business requirements, and developing new business processes. The role requires a Bachelor's Degree and 2+ years of experience in Product Planning, Sales, or Business Operations.
Responsible for leading a team to design, develop, and support dashboard, analytic, and reporting solutions for business intelligence data sets. Develop and coach teams to manage and escalate risks effectively. Ensure projects adhere to enterprise design standards and build strong relationships with business partners to identify new opportunities for efficiency and understanding.
The Geospatial Data Scientist Expert at Arity will be responsible for working with large geospatial datasets, building spatial and machine learning models, and identifying business opportunities for geospatial data science. They will also collaborate with cross-functional teams to develop solutions and enhance Arity's products in the transportation industry.
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