Top Data Analyst Jobs in Chicago
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.
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.
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.
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.
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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 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.
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.
The Senior Financial Data Analyst will support the fast paced growth of Home Chef's strategic initiatives through detailed financial analysis, planning and reporting. This role will work closely with finance and data leaders to provide visibility and clear insights into an increasingly complex business model.
Senior Data Analyst role at Vouch, a technology-first insurance company focused on serving high-growth companies. Responsibilities include building data structure, tools, and models to drive data-driven decisions across functions. Requires 3-6 years of experience and expertise in SQL and Python.
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.
Partner with the Cash App Health organization to analyze large datasets, surface actionable insights, and drive meaningful change to protect customers and their money. Conduct statistical modeling, design A/B experiments, and build metrics for strategy. Communicate findings with cross-functional teams and create data visualizations for partners.
The Sr. Data & Reporting Analyst at Applied Systems will be responsible for transforming people data into reports and visuals to facilitate informed decision-making. They will collaborate with stakeholders to define requirements, design and maintain reports and dashboards, analyze trends, conduct ad-hoc analysis, ensure data integrity, and lead data transfer projects.
Lead Data Analyst role at Chime focusing on model validation for credit and fraud models, coordinating model risk management, and providing analysis and feedback to senior management. Requires expertise in quantitative modeling, regulatory compliance, and effective communication.
The Data Management Analyst at CNA is responsible for executing changes to finance, actuarial, and corporate application table values, ensuring data integrity, analyzing data processes, and participating in data-related projects.
Lead the translation of data and analytics into business impact, support business units with strategic decisions and insights, collaborate with various stakeholders to drive informed decision-making, and ensure data accuracy and integrity in reporting and analysis.
Provide thought leadership & strategic thinking to translate business problems into analytical frameworks, recommend actions, and deliver business insights. Lead development and implementation of pricing strategy, customer segmentation, and optimization. Collaborate with cross-functional partners to complete end-to-end analysis and drive strategy enhancement through tests and experiments. Develop and automate reports, prototype dashboards, and enhance technical and leadership skills.
Lead Systems Analyst role at Mondelēz International focusing on developing data models, uncovering trends, and driving long-term business performance through analytics. Responsible for partnering with business leadership, developing custom models/algorithms, and executing the business analytics program agenda.
Responsible for leading analytical initiatives and providing strategic thinking to solve business problems using techniques such as machine learning and optimization. Collaborates with cross-functional teams to analyze data and deliver actionable insights. Develops and implements advanced analytics and automation processes to drive business strategy and optimization. Delivers effective presentations to leadership and maintains standard work processes. Bachelor's Degree in Analytics or related field and 6+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics required.
Develop, enhance and test models for lending criteria and verification procedures. Conduct ad hoc analysis for risk management, marketing, and operational strategies. Interpret and organize data to solve business problems.
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