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Quantitative Analytics Jobs in Raleigh, NC (NOW HIRING)

You will be using quantitative methods to assess the impact of offline and digital marketing. You will be interacting with the client. You will be providing analyses, recommendations, presentations ...

Business Analyst

Raleigh, NC ยท On-site

$50/hr

Analytics & Data Modeling: 6+ years of hands-on professional experience with SQL, Tableau, and Python to perform data-rich exploratory analysis, build complex quantitative models, and deliver ...

New

Excellent quantitative, analytical, and critical thinking skills. Proficiency in computer ... applications such as Microsoft Office Excel, PowerPoint, Word, Outlook, and other basic software ...

Most cases have quantitative and qualitative elements, though some will be more quantitative and others more qualitative. * You will have opportunities to interact with Analysts (both junior and ...

Most cases have quantitative and qualitative elements, though some will be more quantitative and others more qualitative. * You will have opportunities to interact with Analysts (both junior and ...

Most cases have quantitative and qualitative elements, though some will be more quantitative and others more qualitative. * You will have opportunities to interact with Analysts (both junior and ...

Most cases have quantitative and qualitative elements, though some will be more quantitative and others more qualitative. * You will have opportunities to interact with Analysts (both junior and ...

Senior Financial Analyst

Raleigh, NC ยท On-site

$80 - $120/hr

Perform quantitative analysis and financial modeling of internal and external data to provide insight on drivers of profitability. * Monitor and analyze financial data and key business metrics to ...

Showing results 41-60

Quantitative Analytics information

See Raleigh, NC salary details

$54.9K

$130.1K

$233.3K

How much do quantitative analytics jobs pay per year?

As of Sep 7, 2026, the average yearly pay for quantitative analytics in Raleigh, NC is $130,132.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,400.00 and $141,400.00 per year, depending on experience, location, and employer.

What is quantitative analytics?

Quantitative analytics is the practice of using mathematical models, statistical techniques, and computational tools to analyze data and make informed decisions, typically in finance, business, or risk management. Quantitative analysts, often called 'quants,' use these methods to develop trading strategies, assess risk, value financial instruments, and optimize investment portfolios. Their work combines expertise in mathematics, programming, and finance to solve complex problems and provide actionable insights for organizations.

What are some common challenges faced by professionals in quantitative analytics, and how can they be addressed?

Professionals in Quantitative Analytics often face challenges such as managing large and complex data sets, staying updated with rapidly evolving analytical tools, and effectively communicating technical results to non-technical stakeholders. Addressing these challenges involves continual learning, collaborating closely with IT and data engineering teams, and developing strong presentation skills to translate quantitative findings into actionable business insights. Embracing cross-functional teamwork and ongoing professional development can help quantitative analysts thrive in their roles.

What are the key skills and qualifications needed to thrive as a quantitative analyst, and why are they important?

To thrive as a Quantitative Analyst, you need strong mathematical, statistical, and programming skills, typically supported by a degree in finance, mathematics, statistics, or a related field. Familiarity with technical tools such as Python, R, MATLAB, SQL, and financial modeling software is commonly required. Analytical thinking, attention to detail, and effective communication help distinguish top performers in this role. These skills and qualities are crucial for developing accurate financial models and providing actionable insights that drive data-informed decision-making.

What is the difference between Quantitative Analytics vs Data Analyst?

AspectQuantitative AnalyticsData Analyst
Required CredentialsDegree in Mathematics, Statistics, or related fields; often advanced certificationsBachelor's degree in Data Science, Statistics, or related fields; certifications like SQL or Excel skills
Work EnvironmentFinancial firms, investment banks, hedge funds, or tech companies focusing on complex data modelingBusiness, marketing, healthcare, or retail sectors analyzing data trends and reporting
Employer & Industry UsageUsed in finance, trading, risk management, and quantitative researchUsed across various industries for reporting, visualization, and basic data analysis

Quantitative Analysts focus on developing complex mathematical models to inform investment decisions and risk management, often requiring advanced degrees and specialized skills. Data Analysts typically handle data collection, cleaning, and basic analysis to generate reports and insights for business decisions. While both roles work with data, Quantitative Analytics involves more advanced statistical modeling and programming, primarily in finance and tech sectors, whereas Data Analysts focus on descriptive analytics across diverse industries.

What is a quantitative analytics analyst's salary?

A quantitative analytics analyst's salary typically ranges from $70,000 to $130,000 annually, depending on experience, education, location, and industry. Senior roles or those in financial services may earn higher compensation, often supplemented with bonuses and benefits.

What is quantitative analytics salary?

The salary for a quantitative analyst typically ranges from $70,000 to $150,000 annually, depending on experience, education, and location. Senior roles or those in financial hubs can earn higher, often exceeding $200,000 with bonuses and incentives. Skills in programming, statistical analysis, and financial modeling are highly valued in this field.

What are popular job titles related to Quantitative Analytics jobs in Raleigh, NC?

For Quantitative Analytics jobs in Raleigh, NC, the most frequently searched job titles are:

Infographic showing various Quantitative Analytics job openings in Raleigh, NC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution, with an average salary of $130,132 per year, or $62.6 per hour.

Marketing Analytics Consultant

Ra

Raleigh, NC โ€ข On-site

Full-time

Re-posted 9 days ago


Job description

Company Description

About Client:

They help in transforming the leading organizations and communities around the world. Organizations infrastructure and culture is amazing. Best place!!

Job Description

Job Title: Marketing Analytics Consultant

Job Level: Mid Level


Job Description:

This is what you will do..


You will be using quantitative methods to assess the impact of offline and digital marketing.

You will be interacting with the client.ย 

You will be providing analyses, recommendations, presentations and advice to clients.

You will be doing project-based analytics which includes Marketing Mix Modeling, Multi-Channel Attribution, Digital Analytics, Pricing and Promotion and Demand Forecasting.

You will be leading a project team and you will be responsible for team's growth.


We are looking for someone...


Who has nearly 2+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools.

Who is good in providing external consulting.

Who is proficient in SAS or other statistical modeling tools.

Who enjoys traveling, because this role involves traveling (80% to 100%).

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc.

Who is proficient in Customer-level data analysis.


Qualifications

Who has nearly 2+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools.

Who is good in providing external consulting.

Who is proficient in SAS or other statistical modeling tools.

Who enjoys traveling, because this role involves traveling (80% to 100%).

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc.

Who is proficient in Customer-level data analysis.

Additional Information

All your information will be kept confidential according to EEO guidelines.