Top Data Analyst Jobs in Chicago
Responsible for extracting, managing, and analyzing data within the company. Conduct research on business data and communicate findings to stakeholders. Set up processes and systems to work with data efficiently. Manage and escalate risk and customer-impacting issues to management.
The Business Data Analyst at Caterpillar Inc. will support the Aftermarket Leads and Insights department by deploying digital product capabilities, analyzing data, and driving digital execution within the aftermarket enterprise tools and processes. Responsibilities include collaborating with team members, conducting data analysis, and assisting in coordinating digital strategy efforts.
The Data Analyst role in Chicago involves strategizing data import/migration needs, working on legacy data migrations, providing client consultation, and on-call support. Requires 3-5 years of experience and familiarity with various software tools and data formats.
Join the analytics team focused on transforming a data-driven Compliance organization within Cash App. Use data to quantify compliance risks, forecast operational demand, and drive efficiency. Collaborate with various teams to inform strategic compliance program builds and communicate insights to drive action.
The Principal Data Analyst - Enterprise & Sales will be responsible for using data to drive insights and support the Enterprise business and Sales Ops Analytics team. The role requires expertise in sales data analysis, strategy, and business analysis. Strong skills in SQL, Excel, Tableau, and Salesforce are required. The analyst will be responsible for building data assets, conducting analyses, and creating visualizations using an analytics platform. The role offers competitive compensation and benefits.
Seeking a Lead Data Analyst to join the Information Security team in analyzing security-related data, creating BI solutions, maintaining reporting mechanisms, and providing key insights to enhance security practices. Requires a bachelor's degree in a relevant field, experience in Business Intelligence and Analytics, proficiency in BI tools, organizational skills, and knowledge of security-related data sources.
The Data Analyst at Ariel Investments is responsible for preparing comprehensive data analytics on the firm’s existing portfolios, modeling and analyzing performance trends, and providing detailed analysis to support various business functions. The role requires critical thinking, problem-solving, technical skills, and the ability to transform data into actionable insights.
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Responsible for transforming data into actionable insights to optimize growth strategies and cost reductions in the global trade industry. Collaborate with stakeholders to drive visibility and influence the roadmap for Data Analytics department. Requires 5+ years of experience, strong SQL fluency, familiarity with scripting languages, and executive communication skills.
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The Data Analyst will analyze customer data, track project progress, create dashboards and reports, conduct segmentation analysis, and identify opportunities for improvement. The ideal candidate has a background in statistics, mathematics, and/or computer science, 1-2 years of project experience in data science or analytics, and proficiency in SQL, Python, and Tableau.
The Senior Talent Acquisition Data Analyst at Toast will drive the optimization of Talent Acquisition processes and systems by building and maintaining dashboards, writing SQL queries, and providing strategic support. The ideal candidate will have a Bachelor's degree and 3+ years of experience in Business Intelligence, Data Analysis, or Data Science.
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.
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Build and be responsible for organizational processes, technical infrastructure, and statistical techniques to forecast Chime’s member funnel. Implement new forecasting processes, scenario plan with leadership, monitor financial KPIs, and partner with various teams.
Looking for a data-driven Risk Analyst with strong analytical and technical skills to work in the fraud risk team. Responsibilities include evaluating, monitoring portfolio, and mitigating losses. Must have 2-5 years of analytical experience, expertise in SQL, Python, R, and experience in creating monitoring dashboards using Tableau or similar tools.
Develop scalable reporting and analytics solutions, analyze performance trends, and build cross-functional partnerships to empower active traders in financial markets.
Provide quantitative and qualitative data analysis to drive business decisions. Create forecasts, reports, and dashboards to communicate insights. Collaborate with teams and deliver actionable recommendations to business clients. Develop and apply analytical tools and share insights across the organization.
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.
As a Data Analyst for the Data/Reporting team at Onbe, responsible for capturing functional requirements, documenting legacy systems, and facilitating communication between technical teams and business stakeholders.
As a Senior Data Analyst at Tegus, responsible for conducting analyses, building dashboards, and supporting strategic initiatives through data insights. Collaborate with cross-functional teams, develop data visualizations, and ensure the health of data infrastructure. Bachelor's degree in a quantitative field and 2+ years of experience in business intelligence required.
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Seeking a highly skilled Sr. Data Analyst with expertise in revenue reporting (ARR), SQL, and complex data models. Responsible for analyzing revenue data, identifying trends, and providing insights to drive strategic decision-making. Opportunity to work with cross-functional teams to optimize revenue performance.
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Senior Data Analyst responsible for producing data and reports to support the Procurement team in alignment with overall Procurement strategy and initiatives. Requires expertise in data management, analysis, and finance principles related to procurement practice.
The Business Intelligence (BI) Analyst is responsible for mining company data to achieve valuable insights, used to inform critical business decisions. This role compiles business intelligence to support actionable recommendations and provides executive leadership with analytical insights to promote strategic decisions and maximize company-wide value. The BI Analyst helps create solutions and responses to questions as they arise.
Join the Analytics team of a high-growth Population Health and Analytics software company as a Senior Analyst. Responsible for creating high-value analytics for enterprise customers, developing patient stratification models, delivering dashboards, and analyzing claims data. Collaborate with various teams and be a subject matter expert on the company's analytics product.
The Data Analyst at Motorola Solutions will be responsible for managing and translating customers' master databases, enforcing Data Governance policies, and analyzing datasets to improve reporting and data efficiencies. They will also collaborate with cross-functional teams to provide relevant data for upper management.
Quantitative Research Analysts at Citadel develop next-generation models and trading approaches for investment strategies. Responsibilities include conceptualizing valuation strategies, developing and improving mathematical models, back testing trading models, using unconventional data sources, conducting statistical analysis, and building monetization systems for trading signals.
Quantitative Research Analysts at Citadel Securities develop next-generation models and trading approaches using complex statistical techniques for financial markets. Responsibilities include conceptualizing valuation strategies, developing mathematical models, backtesting trading models, and conducting statistical analysis. Positions available in Chicago, New York, and Miami.
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