Top Analytics Jobs in Chicago, IL
Looking for a Data Analytics leader with extensive experience in BI, data analytics, and team management. Responsibilities include leading projects, managing a team, providing support to FP&A, and developing a data community. The role offers competitive compensation and benefits.
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.
As a Senior Associate in Cybersecurity, Privacy, and Forensics at PwC, you will be part of a team driving strategic programs, data analytics, innovation, deals, cyber resilience, and technical implementation activities. Responsibilities include solving complex business issues, developing innovative solutions, data modeling, and hands-on experience in data warehousing and ETL optimizations.
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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.
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As the Product Insights Analyst at NinjaTrader, you will be responsible for laying the foundation for the data culture within the Product team. Your role includes designing and executing product insights research, analyzing industry trends, and optimizing product features through data-driven decisions.
Build and manage a People Analytics function from scratch, collaborate with various teams, provide data-driven insights and analyses, develop models, and support reporting requests for internal and external stakeholders.
Senior Analysts for statistical modeling, creating high-performing models, research, testing, data processing, ad-hoc analysis, documentation, collaboration, technical environment includes SQL, R, Python, and more.
Design and develop models, optimization algorithms, and scalable processes for marketing measurement and audience activation. Use big data analytical tools to extract data from processing platforms and perform software development. Employ statistics, data mining, and machine learning techniques to extract actionable information from data. Develop machine learning algorithms for online and offline identity resolution.
The Analyst, MTA Solutions Architect at TransUnion is responsible for understanding client requirements, implementing and configuring application functionality, and serving as a technical liaison between TransUnion and clients. This role involves setting up, validating, and diagnosing ETL integrations using various tools and guiding clients through the implementation process.
The 3rd Party Supply Planning Analyst at Motorola Solutions is responsible for ensuring timely delivery of 3rd party materials to MSI or customers. They execute purchasing processes, manage POs, resolve issues, work with suppliers, and maintain data in ERP systems. The role requires good communication skills, project management skills, and 3+ years of experience as a Supply Planning Analyst.
The Operations Excellence Analyst at Home Chef will work on various projects related to tool development, data analysis, reporting, training, and project management. Responsibilities include partnering with plant teams, data analysis, developing training programs, and project planning. The role requires a four-year degree in a related field and an entrepreneurial mindset.
Manager of Revenue Analytics at Hireology responsible for utilizing Looker and SQL to generate insights for sales, customer success, product, and marketing decisions. Must have a degree in a quantitative field or 2+ years of analytics experience. Proficiency in SQL and databases is required.
This role involves building and engaging a community of data professionals, managing content related to data science and analytics, networking with key stakeholders, organizing events, gathering feedback, and providing insights to leadership.
Responsible for defining and driving data governance within the Finance organization. Working closely with leaders and process owners to implement data policies and standards. Partnering across finance and technical teams to ensure data quality standards and consistency in financial data.
Responsible for defining and implementing advanced analytics and automation solutions in support of Finance initiatives. Design dashboards for real-time insights, collaborate with cross-functional teams, monitor performance, drive adoption of analytics and automation.
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