Top Analytics Jobs in Chicago, IL
As a Solutions Architect, you will work directly with clients to understand their business requirements regarding Microsoft Data and AI solutions, create high-level designs, develop proposals, and oversee delivery while ensuring profitability for CDW. Responsibilities include client engagement, sales support, architecture documentation, relationship management, and contributing to intellectual property development.
The Senior Analyst, Marketing Analytics will analyze marketing performance, sales effectiveness, client retention, and customer lifetime value. This role requires collaboration with various departments to provide actionable insights and recommend strategies to achieve business goals. The candidate will leverage data analysis tools and present key findings to stakeholders, focusing on optimizing marketing initiatives and building automated reporting.
The Manager of Data Science will lead a team of quantitative analysts to solve business problems through advanced analytics and machine learning. They will oversee performance metrics, manage risk within teams, and develop strategies for home loan acquisition through segmentation and optimization. Responsibilities also include coaching, developing insights, and ensuring effective process documentation.
The SCA Business Analytics Manager is responsible for leading the implementation of advanced analytics to support cost competitiveness and enhance operational performance. This includes deriving insights from data, driving collaboration with regional teams, and managing analytics projects to support strategic initiatives.
The role involves developing complex analytics solutions for Chase's global business, collaborating with various teams to enhance customer-centric innovation, and addressing challenging business questions using insights from data.
As a Quant Analytics Manager, you will lead advanced analytics projects across various teams, focusing on sales forecasting, campaign performance insights, and data presentation. Collaborate with partners to translate business needs into analytical solutions and deliver comprehensive insights to stakeholders, including executives and merchants.
As a Fraud Technologist - Data and Analytics Manager at PwC, you will lead teams to drive end-to-end fraud transformation, consult on enterprise-wide fraud detection and prevention solutions, and mentor junior staff while ensuring successful project execution.
Work as a Senior Associate within Data and Analytics services, focusing on business intelligence and data assurance to drive innovation and growth
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The role involves leveraging data analytics to help organizations drive insights and business results, focusing on business intelligence, data management, and fraud transformation. The Senior Manager will lead a team, manage client relationships, contribute technical knowledge, and navigate complex issues in the financial crimes space.
As a Senior Manager in Data and Analytics, you will help organizations leverage data for insights and business results, align data strategies with business needs, and guide clients in migrating to modern cloud data environments. You'll also manage cross-functional teams, tackle complex problems, and develop trustworthy relationships with stakeholders.
As a Cloud Data & Analytics Manager, you will align client data strategies with their business goals, assist in choosing data platforms, and migrate them to modern cloud data environments. You'll develop skills, lead teams, analyze complex ideas, and support decision-making through data insights while upholding ethical standards.
The Assistant Director, Index Analytics conducts independent financial data analysis, collaborates with the analytics team on index metrics, and develops promotional materials about index methodologies. The role requires proficiency in statistical methods and the ability to manipulate large datasets to extract insights and prepare comprehensive reports.
The Business Analyst will support various departments by developing reports, analyzing data trends, and providing insights to guide strategic decision-making. Key responsibilities include cross-functional collaboration, problem-solving, communicating findings to management, ensuring data integrity, and seeking continuous improvement in analytical processes.
The Associate Principal in Quantitative Risk Management develops and maintains risk models for margin, clearing fund, and stress testing. Responsibilities include model analytics, prototyping, performance monitoring, and collaboration with quantitative analysts and technology staff. This role involves coding, documentation writing, quality assurance testing, and providing quantitative analyses to support risk managers.
The Decision Analytics Consultant will work on challenging supply chain projects, analyzing data to identify opportunities and solve issues. They will collaborate with teams to create solutions in optimization, forecasting, and risk management, while managing project resources and contributing to the practice's growth.
As a Decision Analytics Associate Consultant, you will analyze healthcare data, primarily from Electronic Health Records, to produce actionable insights for decision-making and improve patient care. You will develop statistical models, design custom analyses, communicate findings, and serve as a key client contact, collaborating with healthcare providers to advance their analytics capabilities.
As a Health Plan Analytics and Insights Manager, you will lead client business development, manage relationships, drive performance improvement in health plan sectors, and deliver digital solutions. You will be responsible for leading a diverse team while staying updated on industry trends and fostering an innovative work environment.
As a Decision Analytics Consultant at ZS, you will analyze healthcare data, particularly from Electronic Health Records, to provide actionable insights to healthcare clients. You will work with clients to understand their information needs, manage data quality, and present findings to enhance patient care and drive decision-making.
As a Decision Analytics Associate, you'll develop advanced statistical models, leverage analytics to guide decision-making, design custom analyses using various tools, communicate results, manage client relationships, and mentor other associates. You'll work on multiple projects, focusing on data-driven solutions for business challenges.
The HR Data Strategy and Analytics Director will enhance HR operations by building an operational infrastructure, refining processes, leading an HR Operations team, and developing metrics-based tools. They will also oversee HR data maintenance, manage vendor relationships, partner with IT for technology upgrades, and ensure compliance during expansions.
The Data Analytics Consultant, Claims at CNA is responsible for designing, analyzing, and modeling data to provide insights and support the management of business operations. This role involves building dashboards, interpreting data trends, and collaborating with other analytical teams. The consultant will report findings and recommendations to senior consultants and management.
The Data Analytics Director at CNA leads a team in leveraging data analytics to drive business impact within the Long Term Care unit. Key responsibilities include partnering with various departments, translating business problems into analytics projects, and developing innovative data models and solutions.
In this role, you will manage product roadmaps, collaborate with stakeholders, monitor performance metrics, and drive the adoption of data and analytics products at McDonald's, fostering a data-driven culture throughout the organization.
The Marketing Data Analytics Co-op will work with the Segmentation and Modeling team to streamline promotional and advertising effectiveness products. The role involves collaborative project work and analytical tasks aimed at enhancing customer digital behavior insights and forecasting abilities.
The Data Product Manager will oversee multiple products within the Global Data & Analytics team, prioritizing product backlogs, balancing new features, coordinating deployments, and contributing to the product roadmap. The role requires deep understanding of product performance, technical components, and customer value delivery.
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