at J.P. Morgan
Bulge Bracket Investment BanksPosted 6 days ago
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**Quant Analytics Associate**: Convert complex data into actionable insights. Responsibilities include crafting analytic assets, evolving the analytics toolset (Snowflake, AI-enabled apps), collaborating across teams, defining data requirements, and enhancing measurement processes. Required: 2+ years of marketing data & analytics experience, Master's degree in a related field, proven collaboration skills, business marketing strategy experience, proficiency in SQL, Python, SAS/R, and strong analytical reasoning.
- Compensation
- Not specified USD
- City
- Columbus
- Country
- United States
Currency: $ (USD)
Full Job Description
Location: Columbus, OH, United States
- Develop analytic assets and frameworks to evaluate campaign incrementality, profitability, and ROI (e.g., forecast/proforma vs. actuals, attribution/measurement approaches where relevant).Leverage and help evolve the analytics toolset, including Snowflake and emerging AI-enabled analytical applications, to improve speed, scale, and consistency of insights.Collaborate across functions (modeling, finance, marketing channels, and execution/delivery teams) to ensure solutions are implementable, controlled, and aligned to standards.Advocate for and define data requirements needed to monitor performance, targeting, and execution; partner with data teams to address data gaps, quality, and lineage considerations.Maintain and enhance processes and controls supporting measurement quality, repeatability, and auditability of results.Required qualifications, capabilities and skills -
- 2+ years of related Marketing Data & Analytics experience.Masters degree in a related field, or Bachelors degree + 5+ years experience in a related discipline.Exceptional collaboration and interpersonal skills; ability to explain complex quantitative topics (e.g., statistics, algorithms, data structures) clearly and influence decision-making across business and technical partners.Demonstrated experience with business marketing strategy and tactical lifecycle execution.Proficiency in data analysis languages/tools such as SQL, Python, SAS, R (or comparable).Experience with relational databases and big data platforms, including Snowflake.Strong analytical reasoning, interpretive ability, and structured problem solving.
Quant Analytics Associate
Compensation
Not specified USD
City: Columbus
Country: United States
ExperiencedNo visa sponsorship**Quant Analytics Associate**: Convert complex data into actionable insights. Responsibilities include crafting analytic assets, evolving the analytics toolset (Snowflake, AI-enabled apps), collaborating across teams, defining data requirements, and enhancing measurement processes. Required: 2+ years of marketing data & analytics experience, Master's degree in a related field, proven collaboration skills, business marketing strategy experience, proficiency in SQL, Python, SAS/R, and strong analytical reasoning.
Full Job Description
Location: Columbus, OH, United States
The successful candidate is analytically and technically strong, communicates clearly with senior stakeholders, operates with a consultative mindset, and brings innovative analytical approaches to convert complex data into actionable insights.Job Responsibilities-- Develop analytic assets and frameworks to evaluate campaign incrementality, profitability, and ROI (e.g., forecast/proforma vs. actuals, attribution/measurement approaches where relevant).Leverage and help evolve the analytics toolset, including Snowflake and emerging AI-enabled analytical applications, to improve speed, scale, and consistency of insights.Collaborate across functions (modeling, finance, marketing channels, and execution/delivery teams) to ensure solutions are implementable, controlled, and aligned to standards.Advocate for and define data requirements needed to monitor performance, targeting, and execution; partner with data teams to address data gaps, quality, and lineage considerations.Maintain and enhance processes and controls supporting measurement quality, repeatability, and auditability of results.Required qualifications, capabilities and skills -
- 2+ years of related Marketing Data & Analytics experience.Masters degree in a related field, or Bachelors degree + 5+ years experience in a related discipline.Exceptional collaboration and interpersonal skills; ability to explain complex quantitative topics (e.g., statistics, algorithms, data structures) clearly and influence decision-making across business and technical partners.Demonstrated experience with business marketing strategy and tactical lifecycle execution.Proficiency in data analysis languages/tools such as SQL, Python, SAS, R (or comparable).Experience with relational databases and big data platforms, including Snowflake.Strong analytical reasoning, interpretive ability, and structured problem solving.CareersApplications
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