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Data Analytics Jobs in Durham, NC (NOW HIRING)

CYNET SYSTEMS

Data Analyst

Raleigh, NC · On-site

$30 - $35/hr

... analytics, and governance activities. * This role is responsible for developing Power BI dashboards, monitoring compliance metrics, analyzing pricing and submission trends, ensuring regulatory ...

infini-tek

Sr Data Analyst, Data Products

Raleigh, NC · On-site

$90 - $130/hr

Builds dashboards to modernize analytics and assists management with special data projects. * Business Support - Enforces data policies and procedures across the enterprise. Encourages discussion and ...

Arkema

Sr. Financial Analyst (Data Analytics) Job

Cary, NC · On-site

$79K - $98K/yr

BA / BS Degree in Finance, Data Analytics, Mathematics / Statistics or IT field; MBA a plus. * Five or more years' finance / data management experience required. * Expert in Microsoft Office Suite:

Arkema

Sr. Financial Analyst (Data Analytics) Job

Cary, NC · On-site

$79K - $98K/yr

BA / BS Degree in Finance, Data Analytics, Mathematics / Statistics or IT field; MBA a plus. * Five or more years' finance / data management experience required. * Expert in Microsoft Office Suite:

Arkema

Sr. Financial Analyst (Data Analytics) Job

Cary, NC

$79K - $98K/yr

BA / BS Degree in Finance, Data Analytics, Mathematics / Statistics or IT field; MBA a plus. * Five or more years' finance / data management experience required. * Expert in Microsoft Office Suite:

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Showing results 21-40

All JobsData Analytics JobsData Analytics Jobs in Durham, NC

Data Analytics information

See Durham, NC salary details

$23

$52

$91

How much do data analytics jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data analytics in Durham, NC is $52.90, according to ZipRecruiter salary data. Most workers in this role earn between $42.50 and $59.95 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Durham, NC?

The most popular types of Data Analytics jobs in Durham, NC are:

What are popular job titles related to Data Analytics jobs in Durham, NC?

For Data Analytics jobs in Durham, NC, the most frequently searched job titles are:

What job categories do people searching Data Analytics jobs in Durham, NC look for?

The top searched job categories for Data Analytics jobs in Durham, NC are:

What cities near Durham, NC are hiring for Data Analytics jobs?

Cities near Durham, NC with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Durham, NC as of August 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $110,036 per year, or $52.9 per hour.

Oliver Wyman - Analyst - Data & Analytics Team - U.S.

Marsh & McLennan Companies, Inc.

Raleigh, NC • On-site

Full-time

Re-posted 14 days ago

Key responsibilities

  • Collaborate with colleagues and clients to develop tailored analytical solutions for complex challenges.

  • Design, implement, and assess prototypes of analytical models and tools, including machine learning and AI-based solutions.

  • Engage in discussions with clients and colleagues to share ideas and communicate findings related to data analytics projects.

Job description

Company:
Oliver Wyman
Description:
Job title: Analyst - Data and Analytics (DNA)
Office/region: Raleigh, NC; Dallas, TX
Eligibility: May 2026 through June 2027 graduates; Unrestricted U.S. work authorization is required. Oliver Wyman does not offer sponsorship for this position.
Application Deadline: September 20th, 2026
Who We Are
Oliver Wyman is a global management consultancy working across all areas of industry, financial services, government, and non-profit organizations. Clients approach us with their most significant challenges, and we assemble teams of experts to address each facet of these complex issues. Together, we create breakthroughs that lead to remarkable impact.
Within Oliver Wyman, the Data and Analytics (DNA) division was established in 2017 and is operating globally. We are a dynamic and rapidly growing team of quantitative analytics specialists, collaborating closely with colleagues across the firm to cover a global footprint, working across multiple industries including, but not limited to, Financial Services, Climate & Sustainability, Energy, Retail, and Transportation.
We believe in the power of diverse perspectives and collaborative teams to drive innovation. Our team comes from a wide range of backgrounds and experiences, and we embrace the unique skills and insights they bring to our work. At Oliver Wyman and within DNA, we are proud of the values we uphold that guide us every day in how we work and collaborate. We are committed to fostering an inclusive environment where everyone can thrive and reach their full potential.
What You Will Do
As a member of Oliver Wyman's Data & Analytics team, you will collaborate with colleagues and clients at all levels from your very first day, helping clients solve their most pressing challenges. Our DNA team is committed to developing tailored solutions for clients around the globe, including designing potential solutions for analytical challenges, implementing various prototypes while also assessing their effectiveness, and engaging in discussions with clients and colleagues to share ideas. Your contributions will be invaluable to delivering impactful results for our clients.
Notable projects include:
  • Developing an NLP-based machine learning toolkit to predict credit rating downgrades using news articles - click here for more information
  • Modelling portfolio decarbonization strategies leveraging advanced analytics techniques for large banks
  • Optimizing and developing a promotional program using data from historical promotions for a health & beauty chain by deploying a promotion analytics toolkit
  • Validating a customer-facing GenAI chatbot for a large bank
  • Developing probability of default and loss models in Python for multiple banks
  • Identifying supply chain risks by combining multiple live data feeds, and developing and applying a bespoke AI based risk methodology - click here for more information
  • Developing a next best action model to reduce customer churn for a global telecom company
  • Performing commercial due diligence on an AI maritime collision detection software system and the impacts of future regulatory changes
  • Implementing AI to remediate billing discrepancies for a portfolio company
  • Assessing the AI readiness of companies on behalf of a Private Equity firm
  • Restructuring the pricing proposition of a financial services firm as part of a value creation plan

Why Join Us?
Expect a steep learning curve, as no two projects are ever the same. You'll have the opportunity to travel internationally, gaining invaluable experiences and insights across different cultures and with access to the latest technologies, you'll constantly expand your toolkit with each new endeavour.
You won't be alone on this journey; various colleagues will guide and coach you throughout your career. You'll have a dedicated buddy, a career adviser, and a talent manager to help you navigate your professional path. We also care deeply about sustainable work-life quality, providing you with the flexibility to balance your career aspirations with your personal life.
This role will empower you to embrace your curiosity and step out of your comfort zone. You will have the opportunity to work alongside genuine colleagues who measure success by the lasting impact we create together. If you're excited by challenges and eager to make a meaningful impact, we look forward to welcoming you aboard!
Who Can Apply?
  • Bachelor's, Master's, or PhD in a quantitative discipline from a top academic program (Data Science, Mathematics, Economics, Natural Sciences, Statistics, Computer Science, Engineering, etc.)
  • Data-driven mindset and proficiency with numbers, paired with the ability to explain sophisticated data science concepts in an understandable manner to clients and colleagues
  • Ideally, programming skills in Python or R, but more importantly, an eagerness to continuously extend your knowledge of technologies
  • Strong commitment to teamwork and resilience in a creative and constantly changing environment
  • Excellent command of the English language (verbal and written)
  • Interest and experience in private equity and private markets is a plus

We are accepting applications for the following U.S. offices. Unrestricted U.S. work authorization is required. Oliver Wyman does not offer sponsorship for this position.
  • Raleigh, North Carolina
  • Dallas, Texas

How to Apply?
Please submit your CV and transcripts. If you would like to find out more information about Oliver Wyman, please visit our website .
Oliver Wyman is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow us on LinkedIn and X.
Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@marsh.com.

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