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

Metabolon, Inc.

Data Analyst 2

Raleigh, NC · Hybrid

Bachelor's degree in physical sciences, mathematical sciences, or a related STEM field. * 2+ years of experience in analyzing data strongly preferred. * LC-MS experience a plus. * Strong analytical ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

Analyze large datasets to identify patterns and trends that inform AI development. * Communicate ... Mentor junior data scientists and provide guidance on best practices. * Drive best practices across ...

RELX

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

Analyze large datasets to identify patterns and trends that inform AI development. * Communicate ... Mentor junior data scientists and provide guidance on best practices. * Drive best practices across ...

Kforce Technology Staffing

Data Analyst

Durham, NC · On-site

Bachelor's degree in Business, Mathematics, Computer Science or equivalent * At least 3-5 years user of data analytics visualization tools, including Tableau, Microsoft Power BI, and SAP Business ...

RELX Group plc

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

Analyze large datasets to identify patterns and trends that inform AI development. * Communicate ... Mentor junior data scientists and provide guidance on best practices. * Drive best practices across ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

Analyze large datasets to identify patterns and trends that inform AI development. * Communicate ... Mentor junior data scientists and provide guidance on best practices. * Drive best practices across ...

Tata Consultancy Service Limited

Data Analyst

Raleigh, NC · On-site

$100K - $140K/yr

Must Have Technical/Functional Skills • Perform data analysis, profiling, and reporting to support business decision-making • Develop dashboards and reports using BI tools • Translate business ...

VHB

Senior Transportation Data Analyst

Raleigh, NC

$98K - $148K/yr

Join VHB's innovative Technology Enablement Team in a Senior Transportation Data Analyst position, where you'll work with a diverse team of engineers, scientists, planners, designers, and ...

Truist

Data Scientist II

Raleigh, NC · On-site

... Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training 2. Exhibit understanding of statistical methods, including a broad understanding of classical ...

NC SECU

Senior Learning Data Analyst

Raleigh, NC

$83K - $105K/yr

Required Experience: -5 years of relevant experience. -Bachelor's degree in acceptable fields of study, Data Analytics, Statistics, Instructional Design, Computer Science. Additional 5 years of ...

Collabera

Data Analyst

Durham, NC · On-site

Data Analyst Minimum Requirements: Proficient in Microsoft Office applications; Outlook, Excel, PowerPoint, OneNote, including running pivot tables, reports Ability to priority tasks as escalations ...

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site

... 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 ...

Kanak Elite Services Inc

Data and AI Analyst

Cary, NC · On-site

Qualifications • Bachelor's degree in Data Science, Computer Science, Statistics, Public Policy, or related field; Master's preferred. • 2+ years of hands-on experience with data analysis, AI ...

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All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Raleigh, NC

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:
Data Analyst Data Science jobs near you
Data Analyst 2

Data Analyst 2

Metabolon, Inc.

Raleigh, NC • Hybrid

Full-time

Posted 7 days ago

Job description

Metabolon, Inc. is seeking an experienced professional with a strong background in data analysis, including expertise in mass spectrometry and chromatography. The ideal candidate will quickly adapt to our proprietary software, leveraging their analytical skills to conduct thorough data analysis and quality control. This role requires critical thinking and keen attention to detail to deliver accurate insights and solutions that drive the continued success and growth of our team. 

This role will work a hybrid schedule (Tues-Thurs in office) from our RTP, NC location.


  • Analyze Liquid Chromatography - Mass Spectrometry (LC-MS) and LC-MS/MS data to assess the presence, absence, and potential interferences of over 5,000 metabolites. 
  • Cultivate an in-depth understanding of mass spectrometry data to generate innovative ideas and automation solutions. 
  • Troubleshoot and resolve data acquisition issues from LC-MS instruments that may affect downstream data quality. 
  • Verify and adjust chromatographic peak integrations to ensure accuracy. 
  • Participate in development opportunities, including: 
  • Expanding Metabolon's chemical library by adding new chemical entries. 
  • Assisting in the creation and optimization of automated data curation systems. 
  • Integrating peak data for targeted analysis projects. 
  • Curating experimental data to support company R&D initiatives. 

  • Bachelor’s degree in physical sciences, mathematical sciences, or a related STEM field. 
  • 2+ years of experience in analyzing data strongly preferred.
  • LC-MS experience a plus.
  • Strong analytical skills and attention to detail. 
  • Proven ability to learn and adapt to new software tools. 
  • Motivated and goal-oriented, with a passion for continuous improvement. 

Metabolon, Inc., is the global leader in revealing biological insights on disease state and physiological reactions in the present time through metabolomics. Leveraging one of the world’s most diverse and rich patient data sets, Metabolon is equipped to deliver biologically relevant evidence to address some of the most difficult and pressing questions in the life sciences. Every day, our work is helping to accelerate research and product development success in the biopharma, population health, consumer products, agriculture, wellness, and academic research sectors.
Metabolon was founded in 2000 and is headquartered in Research Triangle Park, North Carolina with an international headquarters in Germany. For more information, please visit www.metabolon.com.
Metabolon is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status prohibited under Federal, State, or local laws. All employment decisions are based on valid jobrelated requirements.

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