1

Operations Research Analyst Jobs in Delaware (NOW HIRING)

... the operations / production teams on the manufacturing. • Assist in the development and ... analysis and data collection, ensuring all procedures are conducted safely and accurately. • ...

Apply Early

Be Seen First

Trading Operations Analyst Location: Newark, DE (100% Onsite) Pay Rate: $28.00/hr W2 Duration: 17 Weeks Schedule: Monday - Friday, 9:00 AM - 5:00 PM (Overtime as business volumes require) Interview ...

next page

Showing results 1-20

Operations Research Analyst information

See Delaware salary details

$43.5K

$102.5K

$136.1K

How much do operations research analyst jobs pay per year?

As of Jun 30, 2026, the average yearly pay for operations research analyst in Delaware is $102,550.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,600.00 and $116,600.00 per year, depending on experience, location, and employer.

What are Operations Research Analysts?

Operations Research Analysts are professionals who use advanced mathematical and analytical methods to help organizations solve problems and make better decisions. They analyze complex systems, gather data, and develop models to improve processes, increase efficiency, and reduce costs. Their work is essential in industries such as manufacturing, logistics, healthcare, finance, and government. By leveraging techniques like statistical analysis, optimization, and simulation, Operations Research Analysts provide actionable insights to support strategic and operational planning.

Will AI replace research analysts?

AI can automate certain tasks performed by operations research analysts, such as data analysis and modeling, but it is unlikely to fully replace the role. Analysts' skills in interpreting complex data, making strategic decisions, and applying domain knowledge remain essential, with AI serving as a tool to enhance productivity and accuracy.

Is operation research a good career?

Operations Research Analysts analyze complex systems and optimize processes using mathematical modeling and data analysis. The field offers strong job growth, competitive salaries, and opportunities across industries such as logistics, manufacturing, and government, often requiring skills in programming, statistics, and problem-solving.

What are the key skills and qualifications needed to thrive as an Operations Research Analyst, and why are they important?

To thrive as an Operations Research Analyst, you need strong analytical, mathematical, and problem-solving skills, typically supported by a degree in operations research, mathematics, engineering, or a related field. Proficiency with statistical analysis software, optimization tools like CPLEX or Gurobi, and programming languages such as Python or R is commonly required. Effective communication, critical thinking, and collaboration skills help translate complex data into actionable recommendations for stakeholders. These abilities are crucial for delivering data-driven solutions that improve organizational efficiency and decision-making.

What are some common challenges Operations Research Analysts face when translating analytical findings into actionable business strategies?

Operations Research Analysts often encounter challenges in communicating complex quantitative findings to stakeholders who may not have technical backgrounds. Bridging the gap between advanced mathematical models and practical business decisions requires strong communication skills and a deep understanding of the organization's objectives. Additionally, analysts may face resistance to change when proposing new, data-driven strategies, so being able to justify recommendations with clear, accessible insights is crucial. Collaborating closely with cross-functional teams helps ensure solutions are both technically sound and aligned with operational realities.

What is the difference between Operations Research Analyst vs Data Analyst?

AspectOperations Research AnalystData Analyst
Required CredentialsBachelor's degree in operations research, mathematics, or related field; often certifications in analytics or optimizationBachelor's degree in statistics, mathematics, or related field; certifications in data analysis or visualization
Work EnvironmentCorporate, government, or consulting firms focusing on optimization and decision-makingBusiness, marketing, finance, or healthcare sectors analyzing data trends
Employer & Industry UsageOrganizations seeking to improve operational efficiency and decision processesCompanies aiming to interpret data for strategic insights and reporting

Operations Research Analysts focus on optimizing complex systems and decision-making processes using mathematical models, while Data Analysts interpret data to identify trends and support business decisions. Both roles require analytical skills and often similar educational backgrounds, but their core functions differ in scope and application.

What Is an Operations Research Analyst?

An operations research analyst works with a company to analyze relevant data to improve business operations. Their primary duties involve setting goals, identifying potential problems, gathering pertinent information, and then using a variety of analytical methods to come up with solutions. The job requires strong analytical skills as well as the ability to think critically. Additional qualifications include a minimum of a bachelor’s degree in operations research or management science, although many employers prefer a master’s degree. Those interested in a career as an operations research analyst must have research experience in an office setting.

What do operations research analysts do?

Operations research analysts use mathematical models, statistical analysis, and optimization techniques to solve complex problems related to logistics, resource allocation, and process efficiency. They analyze data, develop solutions, and support decision-making in various industries, often using software tools like spreadsheets and specialized modeling programs. Strong analytical skills and knowledge of operations management are essential for this role.

Is a research analyst a high paying job?

Operations Research Analysts typically earn above-average salaries compared to many other roles, with median pay often exceeding $80,000 annually in the United States. Salaries vary based on experience, education, industry, and location, and advanced skills in data analysis and optimization tools can lead to higher compensation.
What are the most commonly searched types of Operations Research Analyst jobs in Delaware? The most popular types of Operations Research Analyst jobs in Delaware are:
What are popular job titles related to Operations Research Analyst jobs in Delaware? For Operations Research Analyst jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Operations Research Analyst jobs in Delaware look for? The top searched job categories for Operations Research Analyst jobs in Delaware are:
What are popular job titles related to Operations Research Analyst jobs in DE? For Operations Research Analyst jobs in DE, the most frequently searched job titles are:
Infographic showing various Operations Research Analyst job openings in Delaware as of June 2026, with employment types broken down into 1% Internship, 69% Full Time, 7% Part Time, 4% Temporary, 15% Contract, and 4% Nights. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $102,550 per year, or $49.3 per hour.
Quant Analytics Manager

Quant Analytics Manager

JPMorgan Chase & Co.

Wilmington, DE • On-site

$133K - $205K/yr

Full-time

Medical, Retirement

Posted 4 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 486 frontline employees who took The Breakroom Quiz

54th of 144 rated banks


Job description


The Small Business Card Analytics team is a strategic partner to the Small Business Card line of business (LOB), leveraging data and analytics to accelerate growth and deliver actionable insights that shape marketing strategies and portfolio management. The team works closely with business partners to enable informed, data-driven decisions and continuous improvement across the Small Business Card portfolio (per role description provided).
As a Vice President and Quant Analytics Manager within the Card Data & Analytics (D&A) organization, you will lead advanced analytics work, including ad-hoc deep dives, financial assessments and portfolio performance analysis. A key focus of the role is serving as a subject matter expert in digital data, applying digital analytics, visualization, and workflow tools such as Adobe Analytics to understand and influence customer behaviors, enabling the team to deliver innovative, digitally informed strategies. This role partners directly with business stakeholders across marketing, product and finance to deliver data-driven strategies, insights, and portfolio decisions.
Key Responsibilities
  • Provide thought leadership and technical expertise in advanced analytics, including predictive modeling, clustering and machine learning.
  • Serve as a subject matter expert in digital data, and analyze and visualize digital customer behaviors to translate engagement patterns into insights that shape marketing strategy and product innovation.
  • Manage and analyze large, complex datasets from multiple sources, connecting customer behaviors across spend, payment, engagement, and digital interactions to actionable strategies that improve profitability and performance .
  • Deliver tactical and strategic insights across marketing, sales, finance, and related business functions using modern visualization and reporting tools, with an emphasis on executive-ready narratives and decision support .
  • Diagnose data quality issues and statistical anomalies, identify process improvement opportunities, and strengthen repeatability and controls across analytics workflows and reporting outputs .
  • Own program management, process development, and stakeholder communications with limited oversight, ensuring timelines, dependencies, and outcomes are clearly managed and transparent .
  • Coach and mentor junior team members, establishing high standards for analytical rigor, documentation, and business relevance while building a collaborative and high-performance culture .
  • Communicate complex analytical results clearly to diverse audiences, tailoring content and level of detail to business partners and senior leadership while enabling decisions and actions .
  • Partner with internal stakeholders and leaders across the Consumer & Community Banking (CCB) organization to align analytics priorities to business strategy, and collaborate with data owners to influence data models and analytics architecture .

Required Qualifications, Capabilities, and Skills
  • Masters or Bachelors degree in a quantitative field with (e.g., Computer Science, Operations Research, Mathematics, Engineering, Econometrics, Statistics, or related discipline) with 5+ years of relevant experience .
  • Demonstrated experience with digital analytics, visualization, and data workflow tools, including Adobe Analytics .
  • Proven ability to serve as a digital data subject matter expert, including analyzing and visualizing digital customer behaviors and translating findings into business recommendations .
  • Strong hands-on experience with data mining, analytical methods, and implementation of analytics into business strategy and execution .
  • Proficiency in analytical languages (e.g., Python, SAS, R) and experience with Big Data technologies such as Snowflake and Databricks .
  • Advanced SQL capability and experience working with relational databases, including building reproducible datasets and performing quality checks aligned to business use .
  • Experience with dynamic and interactive reporting tools (e.g., Alteryx, Tableau) and the ability to create stakeholder-friendly dashboards and reporting assets .
  • Exceptional interpersonal skills and a consulting orientation, including the ability to influence stakeholders at all levels and communicate complex quantitative concepts in plain business language .
  • Track record of delivering analytics and insights to multiple levels of management with clear linkages to performance outcomes and business decisions .

Preferred Qualifications, Capabilities, and Skills
  • Demonstrated ability to influence prioritization and decisions through structured analytics storytelling, crisp recommendations, and well-supported trade-offs .
  • Experience working with cross-functional partners across marketing, product, finance, and risk to deliver measurable outcomes .
  • Experience developing executive-ready dashboards and performance measurement frameworks for marketing and portfolio analytics, with consistent KPI definitions and governance .
  • Evidence of identifying, scaling, and institutionalizing process improvements that enhance data quality, repeatability, and reporting efficiency, including documentation and stakeholder adoption .

About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

What JPMorgan Chase & Co. employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom