Top Analytics Jobs in Columbus, OH
Donnelley Financial Solutions (DFIN) is seeking a talented Business Analyst to join their finance team supporting deal desk operations and business strategy. The Business Analyst will play a pivotal role in informing decision-making through data analysis and collaboration with various teams to implement pricing initiatives.
The Inventory & Business Analyst is responsible for day-to-day inventory management support including transactions, monitoring levels, creating work orders, coordinating cycle counts, and maintaining accurate inventory balance. The role requires 3+ years of experience in inventory management and working with third-party vendors.
Drive the CCO policy governance program, collaborate with subject matter experts, manage policy inventory, assist in reporting, identify efficiency gains, and build relationships with partners. Extract insights and present findings to the team. Work within a system of record for policies and deliver policy management presentations.
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The VP, Enterprise Systems & Data will lead the technology and applications management transformation, drive business intelligence via data analytics, and establish best-in-class data governance. Responsibilities include overseeing enterprise applications, data governance, data science, and implementing advanced technology solutions like AI.
The Principal Data Analyst will be responsible for deriving meaningful insights from data and supporting the Enterprise and Sales teams. They should have experience in sales data analysis, strategy, or business analysis, with proficiency in SQL, Excel, Tableau, and Salesforce. The successful candidate will be highly organized, analytical, and detail-oriented. A degree in Business, Statistics, Finance, or a related analytical field is preferred.
Partners with Consumer and Ecommerce Business Groups to ensure delivery of applications aligned to the business and IT strategy. Responsible for authoring data integrations and API related Consumer business requirements. Collaborates with business users, translates high-level requirements into actionable workloads, and leads troubleshooting efforts on critical issues.
Join the Analytics Solutions team within the data management unit at JPMorgan Chase & Co. as an Associate. Responsibilities include data governance, data strategy, and partnering with stakeholders to establish a data use framework. Must have a Bachelor's degree in Accounting, Finance or a technical field, 4+ years of relevant work experience, and proficiency in Excel, PowerPoint, Alteryx, Essbase, and AWS. Strong leadership, communication, and problem-solving skills required.
As a Finance Data Domain Architect Associate, responsible for developing modifications to reporting infrastructure, ensuring data quality, and preparing ad hoc analysis for CFO stakeholders. Collaborate with business stakeholders to translate requirements into solutions and work with IT to implement solutions. Validate production results and perform data analysis using various tools like SQL and Excel.
Join as an Applied AI ML Senior Associate in the Business Modeling organization responsible for developing cutting-edge models in Marketing, Finance, and Operations domains. Utilize advanced analytics to solve complex business problems, generate actionable recommendations, and contribute to the full modeling lifecycle. Required skills include proficiency in Python, SQL, and experience in machine learning, optimization, and statistical modeling.
Utilize statistical and machine learning techniques to create high-performing models that comply with regulatory and privacy requirements for business objectives and client needs. Research, develop new analytical approaches, test new statistical analysis methods, and present results clearly. Collaborate with team members to develop technical/business approaches and tools.
Manage Information Security & Risk Management processes, educate on cybersecurity awareness, analyze policy impacts, develop and update policies, create dynamic dashboards, and more
As an Associate Data Science Engineer at PrizePicks, you will be responsible for developing and maintaining streaming data and MLOps infrastructures to enable real-time priced markets within the product. You will collaborate with various teams to ensure data reliability, model output quality, and scalability.
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