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Data Analyst Data Science Jobs in Raleigh, NC (NOW HIRING)

... analytics and decision tools for professional and business customers. Our company is a leader in ... Define and execute the data science vision and roadmap aligned with business objectives and ...

Credible is looking for a data-driven, results-oriented Data Analyst to join the Business Intelligence and Analytics team. This role, which is aligned to the Insurance team, will be integral in ...

Data Product Architect

Durham, NC · On-site

$57.75 - $74.25/hr

You will design scalable data models, build robust data pipelines, and explore cutting-edge technologies such as advanced analytics, data science, machine learning, and AI tools for coding, SQL ...

Data Product Architect

Morrisville, NC · Hybrid

$59.75 - $76.75/hr

You will design scalable data models, build robust data pipelines, and explore cutting-edge technologies such as advanced analytics, data science, machine learning, and AI tools for coding, SQL ...

Data Product Architect

Morrisville, NC · On-site

$59.75 - $76.75/hr

You will design scalable data models, build robust data pipelines, and explore cutting-edge technologies such as advanced analytics, data science, machine learning, and AI tools for coding, SQL ...

Overview POSITION TITLE (Oracle title) DATA ANALYST WORKING TITLE Data Analyst-OPT (Personnel Data) SCHOOL/DEPARTMENT Human Resources-Salary and Information Systems LOCATION Crossroads III, Cary, NC ...

Overview POSITION TITLE (Oracle title) DATA ANALYST WORKING TITLE Data Analyst-OPT (Personnel Data) SCHOOL/DEPARTMENT Human Resources-Salary and Information Systems LOCATION Crossroads III, Cary, NC ...

UL Solutions is looking for an Associate Business Data Analyst to help develop data, analytics, and ... All in the name of safety science. That's where you come in - because none of it could happen ...

Top Skills' Details Data Science, Machine Learning, Applied AI, Leadership Description Role Overview: We are seeking a hands-on Senior Manager of Data Science to lead a high-impact team in developing ...

Top Skills' Details Data Science, Machine Learning, Applied AI, Leadership Description Role Overview: We are seeking a hands-on Senior Manager of Data Science to lead a high-impact team in developing ...

Work you'll do/Responsibilities Perform analytics using data science techniques; work with the business stakeholders; tell stories from data. * Communicate regularly with Engagement Managers ...

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Data Analyst Data Science information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

How much do data analyst data science jobs pay per year?

As of Jun 26, 2026, the average yearly pay for data analyst data science in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Data analysts and data scientists can start their careers at any age, including 40 or older. Success in data science depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, which can be learned at any stage of life. Many professionals transition into data roles later in their careers with dedication and continuous learning.

How do Data Analysts in Data Science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data analysts often use this concept to focus on the most impactful variables or features during analysis and modeling to improve efficiency and accuracy.

What does a Data Analyst in Data Science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

Can data science work as a data analyst?

Data science and data analysis are related fields, but they have different focuses. Data scientists often develop models and algorithms using programming languages like Python or R, while data analysts primarily interpret data, generate reports, and use tools like Excel or SQL. Skills in statistical analysis, data visualization, and understanding business needs are essential for both roles, and some professionals transition between them based on experience and training.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Data Analyst in Data Science, and why are they important?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Data analysts who develop skills in machine learning, programming, and data visualization will continue to be valuable in the evolving data science environment.
What are popular job titles related to Data Analyst Data Science jobs in Raleigh, NC? For Data Analyst Data Science jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Analyst Data Science jobs in Raleigh, NC look for? The top searched job categories for Data Analyst Data Science jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Analyst Data Science jobs? Cities near Raleigh, NC with the most Data Analyst Data Science job openings:

Director, Data Sciences

LexisNexis

Raleigh, NC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

151st of 430 rated business services


Job description

** Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining. If you reside outside of the Raleigh region and you are unable or unwilling to relocate, then please consider other roles across our organization that might allow for remote locations. **

About our Team:

LexisNexis Legal & Professional, serving customers in over 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company is a leader in deploying AI and advanced technologies to improve productivity and transform the legal market. We prioritize using the best models from today's top creators for each legal use case.

About the Role:

The Director, Data Sciences raises data-driven decision making of a function within a business unit through team leadership. They are also client/industry-facing, and they evangelize methodologies and best practices. They lead people and teams to develop an overall strategy for the execution of projects including creating use cases, roadmaps, alignment of stakeholders, and prioritization. This person acts as coach and leader of Managers and Data Scientists, as well as other resources. Influence should extend outside the director's immediate team to other teams within the director's peers. The Director drives development and implementation across the team to the business, rooted in a deep understanding of our customers, markets, trends, and challenges.

Responsibilities:

  • Strategic Leadership: Define and execute the data science vision and roadmap aligned with business objectives and technological advancement opportunities.

  • Team Management: Build, lead, and mentor a high-performing team of data scientists, fostering a culture of innovation, collaboration, and continuous learning.

  • Advanced Research Direction: Direct cutting-edge research initiatives in NLP, LLMs, and other emerging AI technologies to maintain competitive advantage. Champion innovation by staying current with the latest trends and techniques in data science and allocating resources to promising new approaches.

  • Machine Learning and AI Solutions: Lead the development and implementation of machine learning algorithms and AI solutions to solve complex business problems. Data Analysis and Modeling: Oversee advanced data analysis, modeling, and machine learning to develop predictive and prescriptive models that drive business outcomes.

  • Data Collection and Preparation: Establish protocols for collecting, cleaning, and preprocessing large datasets, ensuring data quality and reliability.

  • Data Visualization Strategy: Guide the creation of informative and compelling data visualizations to communicate results and insights to stakeholders effectively.

  • Cross-functional Collaboration: Partner with executive leadership and cross-functional teams to identify strategic opportunities and address business challenges.

  • Model Deployment and MLOps: Oversee the deployment of machine learning models into production environments, ensuring scalability and reliability.

  • Documentation Standards: Establish comprehensive documentation standards for projects, models, and code for knowledge sharing and reproducibility.

  • Stakeholder Management: Communicate the value and impact of data science initiatives to C-suite executives and business stakeholders.

  • Budget and Resource Management: Manage departmental budget, resource allocation, and infrastructure needs for data science operations.

  • Ethical AI Governance: Develop and enforce ethical guidelines and best practices for AI development and deployment.

Requirements:

  • Bachelors, Masters or Ph.D. in Data Science, Computer Science, Statistics, or a related field; MBA or additional business education is a plus.

  • 10+ years of progressive experience in data science, machine learning, or AI, with at least 8 years in leadership positions.

  • Demonstrated experience in managing and scaling data science teams of 15+ professionals.

  • Proven record of delivering high-impact AI and ML solutions that have driven significant business value.

  • Deep expertise with generative AI models and techniques (e.g., LLMs, GANs) for content generation and their practical applications.

  • Advanced knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques at enterprise scale.

  • Experience in setting technical direction and implementing MLOps practices for model deployment and monitoring.

  • Strong business acumen with the ability to translate complex technical concepts into business value.

  • Excellent communication and leadership skills, with experience presenting to executive leadership.

  • Experience working in a global or multicultural environment

  • Record of successful collaboration with product, engineering, and business teams.

  • Proficiency in multiple programming languages relevant to data science (Python, R, etc.) and big data technologies.

Work in a way that works for you:

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working for you:

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits

  • Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan

  • Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs

  • Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity

  • Family Benefits, including bonding and family care leaves, adoption, and surrogacy benefits

  • Health Savings, Health Care, Dependent Care and Commuter Spending Accounts

  • Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

About the Business:

LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services.

#AIFluency

U.S. National Base Pay Range: $136,100 - $252,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Formor please contact 1-855-833-5120.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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