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Data Analyst Jobs in Raleigh, NC (NOW HIRING)

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 ...

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 ...

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Data Analyst

Raleigh, NC · On-site

$72.50K - $80K/yr

The data analyst will be responsible for analyzing large data sets, creating visualizations, and generating reports that support data-driven decision making. You will need to be able to create ...

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Data Analyst

Raleigh, NC · On-site

$72.50K - $80K/yr

The data analyst will be responsible for analyzing large data sets, creating visualizations, and generating reports that support data-driven decision making. You will need to be able to create ...

Senior Business / Data Analyst The Senior Business / Data Analyst will provide analysis leadership on several complex data analysis projects with diverse scopes across the DEQ enterprise. The DEQ ...

Data Analyst Manager The role involves facilitating requirement sessions with business partners, articulating business requirements into Agile/Scrum story format, and working within the technology ...

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Data Analyst Assignment Duration: 4-month, possible extension Hours: M-F 8am - 5pm EST or CST preferred Location: Remote Why is this role open? (Coverage, looking for perm, etc.) To complete an ...

You will work closely with our team of professionals, assisting in designing, implementation and modeling data warehouse systems, developing BI reporting and analysis applications, and supporting our ...

Data Analyst

Raleigh, NC · On-site +1

$100K - $110K/yr

Overview The Data Analyst identifies and develops opportunities to leverage data from enterprise systems to support compliance activities, detect emerging trends in payment collections and taxpayer ...

Works with complex datasets to perform exploratory data analysis to provide insights to make business decisions. * This role combines consultative and technology focus to Data Analytics. * The ...

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Job Title - Data Analyst Location - Research Triangle Park, NC Duration - 6+ Months Contract Total Hours/week - 40.00 1st Shift Client: Medical Device Company Employment Type: Contract on W2 (Need US ...

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

Data Analyst II The Data Analyst II works with industry data to identify and communicate insights that help internal and industry partners make data-driven decisions and rules. In addition, the Data ...

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Lead Data Analyst Our client, a commercial banking company, is looking for a Lead Data Analyst for their Atlanta, GA/Charlotte, NC/Raleigh NC location. Responsibilities: * Understanding of enterprise ...

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Senior IT Data Analyst The Data Architecture and Engineering Chapter Area is looking for a Senior IT Data Analyst whose work will help people make real-time business decisions to better optimize ...

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Sr Data Analyst

Raleigh, NC · Hybrid

$89.99K - $143.09K/yr

Summary The Senior Data Analyst, working in collaboration with and in support of the firm's strategic initiatives, in the Data Analytics group is responsible for data-driven forecasting, leading ...

Senior Data Analyst

Smithfield, NC · On-site

$74.50K - $94K/yr

Senior Data Analyst We are seeking a skilled Senior Data Analyst to enhance our data infrastructure, improve data quality and relevance, and support strategic decision-making across sales, marketing ...

Tableau, SQL, Learning Analytics, KPI Frameworks, Data Storytelling, Compliance Reporting Detailed Analytics & Dashboarding · Develop and enhance Tableau dashboards that unify learner progress ...

Senior Data Analyst

Raleigh, NC · On-site

$83.60K - $105.50K/yr

What Data Analytics contributes to Cardinal Health: The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business ...

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Data Analyst information

See Raleigh, NC salary details

$33K

$80.3K

$132.2K

How much do data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for data analyst in Raleigh, NC is $80,328.00, 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 Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

How much does an entry level data analyst make?

Entry-level data analysts typically earn between $55,000 and $70,000 annually, depending on the industry and location. Starting salaries may be higher with relevant skills in SQL, Excel, and data visualization tools like Tableau or Power BI.

What jobs make $3,000 a month without a degree?

Data analysts can sometimes earn around $3,000 per month with relevant skills in data visualization, Excel, and basic statistical tools, even without a formal degree. Entry-level roles or freelance work in data analysis, digital marketing, or customer support may also reach this income level, especially with experience and certifications. However, salaries vary based on location, industry, and skill level.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are the most commonly searched types of Data Analyst jobs in Raleigh, NC? The most popular types of Data Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Analyst jobs? Cities near Raleigh, NC with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Raleigh, NC as of May 2026, with employment types broken down into 40% Full Time, and 60% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $80,328 per year, or $38.6 per hour.

Data Analyst Data Analyst

LTM

Raleigh, NC • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

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 Knowledge Strong understanding of Insurance business data related to Policy Claims Underwriting Billing Risk and Regulatory reporting
Client Interaction Analysis Work closely with client stakeholders to understand business questions data needs and reporting requirements
Data Analysis Handson experience analyzing large datasets using SQL Excel and analytical tools
Reporting Insights Develop and validate reports dashboards and insights to support business decisionmaking
BI Tools Experience working with BI and visualization tools such as Power BI Tableau or similar platforms
Data Validation Quality Perform data validation reconciliation and data quality checks to ensure accuracy and consistency
Metrics KPIs Define calculate and track business metrics and KPIs aligned to insurance use cases
Requirements Translation Translate business questions into data queries and analytical outputs
Documentation Communication Prepare clear clientready analysis summaries reports and presentations
Collaboration Coordinate closely with data engineers BI developers and offshore teams to deliver analysis outcomes
Technical Skills Secondary Nice to Have NOT MANDATORY
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
Key Onshore ClientFacing Skills
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
Qualifying Questions
3 qualifying questions from the practice for each role for TA to qualify the candidates for L1 This should form part of the Job Description
Qualifying Screening Questions
1 Insurance Data Experience
Can you describe the types of insurance data you have worked with eg Policy Claims Billing and how you used it to support business decisions
2 Data Analysis Tools
What tools and techniques do you typically use for data analysis eg SQL Excel Power BITableau Please give a brief example of a report or insight you delivered
3 Client Interaction
Tell us about your experience working directly with business or client stakeholders How do you translate business questions into data analysis or reports