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

They are seeking a Data Analyst to work closely with client stakeholders, analyze large datasets, and develop insights to support business decision-making. Responsibilities : • Work closely with ...

Role description Role Data Analyst Insurance Onshore ClientFacing Domain Insurance PC Life Health Work Location USA Raleigh North Carolina Mandatory Technical Skills Primary Insurance Domain ...

This role sits at the intersection of AI, analytics, data science, and business strategy-transforming complex data into actionable insights, predictive solutions, and measurable outcomes. The ideal ...

This role sits at the intersection of AI, analytics, data science, and business strategy-transforming complex data into actionable insights, predictive solutions, and measurable outcomes. The ideal ...

This role sits at the intersection of AI, analytics, data science, and business strategy-transforming complex data into actionable insights, predictive solutions, and measurable outcomes. The ideal ...

This role sits at the intersection of AI, analytics, data science, and business strategy-transforming complex data into actionable insights, predictive solutions, and measurable outcomes. The ideal ...

Computer Science, Engineering, etc.) with a focus on data analysis, data structu - Required - 3 - Years Proven track record of solving real world problems using data. Excellent critical thinking ...

Data analysts/Data Scientists * Machine Learning engineers for full time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

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Data Analyst

Raleigh, NC · On-site

$72.50K - $80K/yr

Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field. * 3+ years of experience in data analysis, with proficiency in Microsoft tools and Power BI. * Strong analytical ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Be Seen First

Data Analyst

Raleigh, NC · On-site

$72.50K - $80K/yr

Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field. * 3+ years of experience in data analysis, with proficiency in Microsoft tools and Power BI. * Strong analytical ...

Bachelor's degree (or above) in either Computer Science, Management Information Systems, Business Information Systems, Mathematics or Finance related field * Data analysis skills, with a proven track ...

New

... data analysts/data scientists. We welcome candidates with all visas and citizens to apply. Who ... Recent computer science/engineering/mathematics/statistics or science graduates looking to make ...

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences * Proficiency in Python, including ...

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences * Proficiency in Python, including ...

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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 May 28, 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.

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.

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 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.

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 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:
Infographic showing various Data Analyst Data Science job openings in Raleigh, NC as of May 2026, with employment types broken down into 59% Full Time, 30% Part Time, and 11% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $80,333 per year, or $38.6 per hour.

Data Analyst Insurance PC Life Health

LTM

Raleigh, NC • On-site

Full-time

Posted 7 days ago


Job description

Job Summary:
LTIMindtree is a company focused on delivering innovative solutions in the insurance domain. They are seeking a Data Analyst to work closely with client stakeholders, analyze large datasets, and develop insights to support business decision-making.
Responsibilities:
• Work closely with client stakeholders to understand business questions, data needs, and reporting requirements
• Handson experience analyzing large datasets using SQL, Excel, and analytical tools
• Develop and validate reports, dashboards, and insights to support business decision-making
• Perform data validation, reconciliation, and data quality checks to ensure accuracy and consistency
• Define, calculate, and track business metrics and KPIs aligned to insurance use cases
• Translate business questions into data queries and analytical outputs
• Prepare clear client-ready analysis summaries, reports, and presentations
• Coordinate closely with data engineers, BI developers, and offshore teams to deliver analysis outcomes
Qualifications:
Required:
• Strong understanding of Insurance business data related to Policy Claims Underwriting Billing Risk and Regulatory reporting
• Work closely with client stakeholders to understand business questions data needs and reporting requirements
• Handson experience analyzing large datasets using SQL Excel and analytical tools
• Develop and validate reports dashboards and insights to support business decisionmaking
• Experience working with BI and visualization tools such as Power BI Tableau or similar platforms
• Perform data validation reconciliation and data quality checks to ensure accuracy and consistency
• Define calculate and track business metrics and KPIs aligned to insurance use cases
• Translate business questions into data queries and analytical outputs
• Prepare clear clientready analysis summaries reports and presentations
• Coordinate closely with data engineers BI developers and offshore teams to deliver analysis outcomes
• Strong communication and presentation skills for client interactions
• Ability to independently manage discussions with business users
• Comfortable working onsite and representing the delivery team with the client
• Proactive problemsolving and ownership mindset
• Ability to work across time zones with offshore delivery teams
Preferred:
• Exposure to Databricks Data Warehouses or Lakehouse platforms
• Familiarity with Python or analytical scripting for data analysis
• Understanding of ETL data pipelines and data integration concepts
• Experience working in Agile Scrum delivery models
• Exposure to regulatory compliance or audit reporting in Insurance
Company:
LTM — a Larsen & Toubro company — is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. Founded in , the company is headquartered in , , with a team of 10001+ employees. The company is currently Late Stage.