Top Data Analyst Jobs in Chicago, IL
Develop reports, dashboards, and visualizations using Power BI and Snowflake SQL for a leading transportation and technology company. Collaborate with stakeholders to analyze and interpret data for business recommendations. Handle confidential information and support department leadership with ad-hoc analysis.
Responsible for gathering, structuring, and analyzing data to provide recommendations to management. Develop and present data analyses and recommendations. Collaborate with business to identify data sources and analysis methodology. Support the development of standard data analyses, reports, and dashboards. Demonstrate proficiency in SAS, R, and Python.
Seeking an experienced Senior Data Analyst to lead all elements of the data practice at Cisco Meraki. Responsibilities include tracking user behavior, defining success metrics, collaborating with data engineering, and fostering a data-first culture. Must have 5+ years of relevant experience in Data & Analytics with deep technical skills in SQL and Python.
Seeking a skilled Business & Data Analyst to join the Supply Chain organization in Chicago. Responsibilities include collecting, cleaning, analyzing data, building reports, and enabling decision-making through insights. Minimum qualifications include 4-6 years of experience, a Bachelor's degree in a related field, proficiency in SQL, data visualization tools, Python, and statistical knowledge.
The American Medical Association (AMA) is seeking a Data Analyst II to join their Environmental Intelligence team in Chicago, IL. The role involves market research analysis, data analysis, and supporting various strategic initiatives. The ideal candidate will have a Bachelor's degree in business, marketing, statistics, and proficiency in Python, SQL, Tableau, and data analysis techniques.
The Data Analyst at Paylocity is responsible for designing, developing, and validating reports and metrics to measure business performance across operations. They collaborate with various teams to drive improvement, analyze key performance indicators, identify process improvements, maintain data integrity, and troubleshoot data-related issues.
Join a data services team at Yello to deliver business insights from collected data, create analytics products, and drive change in recruiting experiences. Work closely with stakeholders to gather requirements and build reporting solutions.
Responsible for building reports and dashboards using Power BI and Power Query, supporting data modeling, and completing ad-hoc report/dashboard development to meet reporting and analytical needs.
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Act as a liaison between tech and business, gather requirements, analyze data sources, articulate findings, become a subject matter expert, and drive execution of data strategy for Commercial & Investment Bank Data Team at JPMorgan Chase.
Act as a liaison between tech and business to gather and translate requirements, analyze data sources, and articulate findings. Must have strong analytical skills and experience with analytics tools like Excel, Alteryx, Tableau, and Qlik. Familiarity with institutional investors and financial services is required.
TransUnion is looking for a Data Solutions Analyst to provide target audience and analytic reporting to clients by leveraging digital marketing analytics and database knowledge. Responsibilities include data analysis, visualization, automation, and communication with clients. The role requires experience in Python, SQL, BigQuery, and cloud computing.
Responsible for designing data warehouse and reporting systems, maintaining data integrity, and ensuring accurate and performant reporting. Liaison between business units, analytics, and data engineering to drive improvements and efficiency in data processes. Collaborate with cross-functional teams to provide actionable insights.
Join PwC's SAP Data and Analytics practice to help clients maximize the value of their SAP investment. Work on transforming data management and governance processes to enhance decision-making and corporate strategy. As a Manager, contribute to solving complex business issues and develop leadership skills within a global framework.
Join a newly created Portfolio Management team to synthesize aggregated information and optimize underwriting strategies using Microsoft Power BI and Microsoft Power Apps. Implement and maintain data visualization dashboards and process-oriented apps for the Portfolio Management team. Promote data standards and coding structures, ensure data quality, and adhere to CNA's data policy.
Responsible for executing analytical initiatives, solving business problems using advanced analytics and machine learning, creating reports and dashboards, and managing risk and customer issues. Collaborates with partners to deliver end-to-end analysis and presentations to leadership. Develops and automates reports, prototypes dashboards, and recommends process improvements.
The Senior Analyst, Growth - CRM Analytics role at Grubhub involves driving insights for the marketing investments, supporting tracking towards goals, and evaluating CRM marketing initiatives. The ideal candidate will have strong quantitative qualifications, data querying skills, and experience in analytics roles. They should possess proficiency in SQL, MS Excel, Tableau, and Python.
Responsible for providing thought leadership and strategic thinking to solve business problems through advanced analytics and machine learning. Manages a team of quantitative analysts and managers, oversees risk assessment in real estate collateral valuation, and leads the development and implementation of advanced analytics solutions.
The Sr Analyst Global Business Intelligence at Kraft Heinz will work on developing high-impact BI projects, partnering with stakeholders, delivering BI projects, analyzing data, and managing timelines. The role requires proficiency in SQL and BI software, strong analytical skills, and effective communication abilities.
Support Category Teams in negotiations, analyze data points, mentor new analysts, provide analytical support, identify growth opportunities, collaborate with other teams, assist in commercial plan development, and provide insights for executive meetings.
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.
ServiceNow is seeking a Senior Process Mining Analyst to optimize and enhance business processes using process mining techniques. Responsibilities include analyzing processes, identifying bottlenecks, gathering data from enterprise systems, and designing process mining models.
The Data Management Consultant at CNA will collaborate with leaders and business partners to analyze complex datasets, create data visualizations, and deliver information utilizing standard tools and technologies. Responsibilities include ensuring data integrity, designing data processes, aligning technology solutions, and creating documentation to promote consistent reporting.
As a Manager in the SAP Data and Analytics practice at PwC, you will help clients maximize the value of their SAP investment by leveraging SAP applications for data management and analytics processes. Your responsibilities include solving complex business issues, developing new skills, coaching team members, and analyzing data to inform decision-making.
The Business Systems Analyst II at Origami Risk is responsible for successful project implementations and ongoing client support. This hybrid role involves client-facing support and technical responsibilities, including configuring the Origami platform, conducting unit testing, and mentoring colleagues. The position requires a Bachelor's Degree in a related technical discipline and 2+ years of experience in system implementations, database management, or systems support. Strong communication skills and attention to detail are essential, with knowledge of JavaScript, XML, and SQL as a plus.
Build predictive models, analyze data trends, support model implementation, develop tools, establish metrics, conduct A/B testing, collaborate with teams, and communicate strategies.
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