ZipRecruiter

Log In

2

Remote Data Analysis Jobs in Raleigh, NC (NOW HIRING)

Cardinal Health

Data Analyst

Raleigh, NC · Remote

Works with complex datasets to perform exploratory data analysis to provide insights to make ... REMOTE DETAILS: You will work remotely, full-time. It will require a dedicated, quiet, private ...

New

AICPA

Data Analyst- Psychometrics

Durham, NC · Remote

You will be 100% remote. You Will: * Perform item calibration and item analysis procedures and ... Perform ad hoc data analyses upon request. * Partner with Psychometricians on data preparation for ...

Cayuse Holdings

Data Analyst

Raleigh, NC · On-site +1

$100K - $110K/yr

Conduct exploratory data analysis using large-scale client data sources, and develop briefings and ... Professional remote office environment. * Must be physically and mentally able to perform duties ...

CIMA

Data Analyst- Psychometric Testing

Durham, NC · Remote

$70K - $80K/yr

You will be 100% remote. You Will: * Perform item calibration and item analysis procedures and ... Perform ad hoc data analyses upon request. * Partner with Psychometricians on data preparation for ...

Contemporaries

Be Seen First

Data Scientist

Durham, NC · Remote

$51 - $58/hr

This is a long-term contract opportunity offering remote work flexibility. We are looking for candidates with strong experience in the R programming language, geospatial/environmental data analysis ...

Aledade

Analyst-IMD Data Management

Raleigh, NC · On-site +1

$51K - $59.30K/yr

Primary Duties Data Analysis & Reporting: * Create and maintain reports and dashboards to track ... remote-first culture - you've come to the right place. What Does This Mean for You? At Aledade, you ...

next page

Showing results 1-20

People also search for

All JobsRemote Data Analysis JobsRemote Data Analysis Jobs in Raleigh, NC

Remote Data Analysis information

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

To thrive as a Remote Data Analyst, you need strong analytical skills, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

What are the most commonly searched types of Data Analysis jobs in Raleigh, NC? The most popular types of Data Analysis jobs in Raleigh, NC are:
What are popular job titles related to Remote Data Analysis jobs in Raleigh, NC? For Remote Data Analysis jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Data Analysis jobs in Raleigh, NC look for? The top searched job categories for Remote Data Analysis jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Data Analysis jobs? Cities near Raleigh, NC with the most Remote Data Analysis job openings:
Remote Data Analysis jobs near you
Infographic showing various Remote Data Analysis job openings in Raleigh, NC as of May 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 56% Physical, 5% Hybrid, and 39% Remote job distribution.
Remote Data Science Consultant & AI Trainer

Remote Data Science Consultant & AI Trainer

DataAnnotation

Raleigh, NC • On-site, Remote

$60/hr

Full-time

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

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

Apply