Quantitative Analyst Jobs in Bismarck
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Search Results - Quantitative Analyst Jobs in Bismarck
The Bank of New York Mellon-Bismarck-
in a quantitative field
• 3+ years of experience in financial services
• Facility with AI and modern data science toolkit, with Python and SQL
• Experience with AI-assisted code development tools (Codex, Claude Code, Devin Desktop, etc.)
• Experience with large data...
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UnitedHealth Group-Bismarck-
facing activities, contributing to business development and practice initiatives. The role blends research, quantitative analysis, and executive-facing communications to shape solutions that improve cost, risk, quality, and revenue in healthcare.
You work...
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American Institutes for Research-Bismarck-
Conduct quantitative analyses for causal and non-causal questions
• Lead analytic components on studies with senior researcher support
• Manage and quality-assure complex datasets from multiple sources
• Document reproducible analytic workflows and QC...
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American Institutes for Research-Bismarck-
Conduct quantitative analyses for causal and non-causal questions
• Lead analytic components on studies with senior researcher support
• Manage and quality-assure complex datasets from multiple sources
• Document reproducible analytic workflows and QC...
Read more
American Institutes for Research-Bismarck-
Conduct quantitative analyses for causal and non-causal questions
• Lead analytic components on studies with senior researcher support
• Manage and quality-assure complex datasets from multiple sources
• Document reproducible analytic workflows and QC...
Read more
Google-Bismarck-
in support operations, driving B2B or B2C growth, ad-tech, or consulting
• Experience with data analysis and quantitative analysis
• Strong communication and influencing abilities
• Leadership and people skills
• Cross-functional collaboration
• Data...
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The Coca-Cola Company-Bismarck-
Ownership and accountability
• Ability to navigate ambiguity and competing priorities
• Advanced analytics and quantitative analysis
• Working with large-scale and granular datasets (consumer, customer, transaction, panel, syndicated, disaggregated)
• Data...
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