Jobs

Quantitative Analyst- Applications Developer
Columbus, OH, United States, US
·
On-site
·
Full-time
·
2mo ago
Required skills
Python
React
AWS
Tableau
Embark on a rewarding and challenging career as an AI & Analytics Solutions Developer with our dynamic team- the Data Analytics & Reporting Team (DART) where we specialize in delivering analytic solutions that drive operational efficiency and generate actionable insights. By developing robust web platforms, custom applications, and dynamic reports, we empower our businesses to make informed decisions and optimize performance. Leveraging advanced technology and Big Data tools, DART transforms complex data into clear, impactful intelligence—enabling teams to identify trends, uncover opportunities, and streamline processes for greater customer satisfaction, employee engagement, and profitability.
As an AI & Analytics Solutions Developer in Data Analytics and Reporting, you will join our team of Tableau and data developers where you will split time between supporting the team—elevating our reporting and analytics capabilities—and delivering individual solutions that unlock new ways to provide data and insights to our customers. You will be passionate about leveraging AI, advanced analytics, and modern application development to push the boundaries of our existing technology stack.
Job responsibilities
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Mentor and assist Tableau/data developers in integrating advanced analytics, AI, and custom visualizations into reporting solutions.
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Enable the team to leverage Python, AI/ML, and automation within Tableau, Alteryx, AWS, and Databricks.
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Research and introduce new technologies, frameworks, and best practices to elevate reporting and analytics delivery.
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Develop reusable components, templates, or scripts that enhance team productivity and solution quality.
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Design and build innovative applications, web solutions, or AI-powered tools that deliver data in new, impactful ways.
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Develop and deploy custom LLM models, generative AI solutions, or automation tools to improve data delivery and user experience.
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Collaborate with stakeholders to understand business needs and translate them into technical solutions and
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Ensure solutions are scalable, secure, and aligned with best practices in cloud environments (AWS).
Required qualifications, capabilities, and skills
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Advanced proficiency in Tableau, Python, and data engineering tools (Alteryx, AWS, Databricks).
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Experience integrating AI/ML models and advanced analytics into reporting platforms and experience with cloud environments and DevOps practices
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Strong application/web development skills (e.g., Flask, Django, Streamlit, React, or similar) and familiarity with LLMs, generative AI, and automation tools (Co-Pilot, VSCode, LLM Suite).
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Ability to mentor and upskill team members in new technologies and approaches and excellent problem-solving, communication, and collaboration skills.
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Bachelor’s degree in computer science, Data Science, Engineering, or related field (or equivalent experience).
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Curiosity, creativity, and imagination with a passion for data analysis, continuous learning, and professional development.
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Enthusiasm for building visually compelling, user-friendly applications,
Preferred qualifications, capabilities, and skills
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Strong understanding of data visualization principles and experience building interactive dashboards.
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Experience with web hosting and deploying data-driven applications.
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Prior work in financial services or regulated environments.
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Knowledge of data visualization best practices and advanced Tableau features.
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Experience with API development and integration.
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.
300,000+
Employees
New York City
Headquarters
$500B
Valuation
Reviews
3.8
10 reviews
Work-life balance
3.5
Compensation
4.0
Culture
3.8
Career
3.2
Management
2.8
68%
Recommend to a friend
Pros
Good benefits and compensation
Supportive colleagues and environment
Flexible work arrangements
Cons
Long hours and heavy workload
Management issues and lack of direction
High stress and expectations
Salary Ranges
44 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analytics Solutions Associate
1 reports
$139,000
total per year
Base
$107,000
Stock
-
Bonus
-
$139,000
$139,000
Interview experience
4 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer rate
50%
Experience
Positive 25%
Neutral 75%
Negative 0%
Interview process
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
In-person/Final Interview
5
Offer
Common questions
Behavioral/STAR
Past Experience
Culture Fit
Financial Knowledge
Case Study
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