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

Data Analysis: Collect, clean, and interpret data from various sources to provide actionable insights that support Customer Success objectives * Reporting: Develop ad-hoc reports and analytics ...

Enterprise Data Analyst II

Raleigh, NC · Remote

$140K - $181K/yr

Overview This is a remote role that may be hired in several markets across the United States. This ... Data Analysis, Regulatory Reporting and Data Lineage. Requires experience with SharePoint and ...

Enterprise Data Analyst II

Raleigh, NC · Remote

$140K - $181K/yr

Overview This is a remote role that may be hired in several markets across the United States. This ... Data Analysis, Regulatory Reporting and Data Lineage. Requires experience with SharePoint and ...

Enterprise Data Analyst II

Raleigh, NC · Remote

$140K - $181K/yr

Overview This is a remote role that may be hired in several markets across the United States. This ... Data Analysis, Regulatory Reporting and Data Lineage. Requires experience with SharePoint and ...

Data Analyst

Cary, NC · On-site +1

Researches and performs data analysis to disseminate specialized reports. * Researches and analyzes district maps, capacities and comparison of Pre-K programs. * Maintains and analyzes Teaching ...

Data Analyst

Cary, NC · On-site +1

Researches and performs data analysis to disseminate specialized reports. * Researches and analyzes district maps, capacities and comparison of Pre-K programs. * Maintains and analyzes Teaching ...

Principal Data Analyst

Raleigh, NC · On-site +1

$125K - $180K/yr

Consult data consumers, analysts and data scientists on navigating data sources and interpreting ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Sr Data Analyst

Raleigh, NC · On-site +1

$83K - $105K/yr

This position is 100% remote and would require working from a home office, in which candidates may ... Perform analysis on large sets of data, including employee compensation and other highly ...

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Job Summary: The Data AuditAnalyst is a key technical contributor responsible for the rigorous ... This position isHybrid (4days in office,1day remote),based at our corporate headquarters inRaleigh ...

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Remote Data Analysis information

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 are the key skills and qualifications needed to thrive as a remote data analyst?

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 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.

Can I get a remote job as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data visualization, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Many companies offer remote roles with flexible schedules, and a strong portfolio or certification can improve job prospects.

Is data analysis a good career for remote work?

Data analysis is well-suited for remote work because it primarily involves computer-based tasks such as working with datasets, using tools like Excel, SQL, and Python, and communicating insights through reports. Many companies offer remote data analyst positions, and strong skills in data visualization and self-management are important for success in a remote environment.

What are the most commonly searched types of Data Analysis jobs in Cary, NC?

The most popular types of Data Analysis jobs in Cary, NC are:

What job categories do people searching Remote Data Analysis jobs in Cary, NC look for?

The top searched job categories for Remote Data Analysis jobs in Cary, NC are:

What cities near Cary, NC are hiring for Remote Data Analysis jobs?

Cities near Cary, NC with the most Remote Data Analysis job openings:

Infographic showing various Remote Data Analysis job openings in Cary, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Analyst, Customer Success

VAST Data

Raleigh, NC • On-site, Remote

Full-time

Posted 8 days ago


Job description

Description
VAST Data is looking for a Data Analyst, Customer Success to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"VAST's data management vision is the future of the market." - Forbes
VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company's growth and at a pivotal point in computing history.
Overview:
VAST is seeking a Data Analyst, Customer Success to join our growing analytics team. The candidate will roll up their sleeves and work hands-on to build analytics and dashboard visualizations that deliver actionable insights on core customer success metrics. The role will partner closely with stakeholders in the Customer Success organization to develop analytical solutions that improve VAST's reporting systems, data quality, and processes for metrics such as Time to Response, Time to Resolution, Customer Satisfaction, NPS, and Feature Adoption.
As a Data Analyst, Customer Success, this position will play a key role in transforming data into actionable insights that improve business outcomes. The Data Analyst will be part of teams that build and deliver accurate, accessible, and repeatable business reporting and insights to stakeholders across all levels.
The analyst will focus on defined questions, creating standard reports and dashboards. The role will be responsible for both building data models behind operational metrics, using SQL, and creating visually compelling dashboards in Tableau. We are seeking an analyst with intellectual curiosity with a natural desire to explore data and ask questions that lead to deeper insights.
Essential Duties and Responsibilities
  • Data Extraction and Modeling: Write SQL queries to extract and transform customer success data, ensuring data integrity and accuracy for reporting and analysis purposes
  • Business Understanding: Proactively seek guidance from senior analysts and stakeholders to build deeper understanding of Customer Success processes and metrics
  • Data Analysis: Collect, clean, and interpret data from various sources to provide actionable insights that support Customer Success objectives
  • Reporting: Develop ad-hoc reports and analytics packages for regular business reviews. Build and maintain reports in Tableau
  • Data Visualization: Develop and maintain Tableau visualizations to represent metrics, trends, and performance
  • Insights: Deliver analytics that answer key business questions and drive value and improved outcomes for Customer Success stakeholders
  • Data Management: Support efforts that improve the accuracy of reporting data. Identify data quality gaps, help improve the integrity of source data, and maintain documentation and data definitions for financial metrics. Escalate complex data issues as needed
  • AI-Enabled Efficiency: Use tools such as Cursor and Claude to speed up SQL development, documentation, and testing, and to reduce manual, repetitive analytics work
  • Process & Policy: Track and manage analytics work in Jira. Work cross-functionally to streamline data processes, troubleshoot issues, and collaborate to improve data across systems

Requirements
  • Education: Bachelor's degree in Business Analytics, Business, Computer Science, Data Science, or a related field
  • Experience: 3-5 years of experience as a data analyst; Customer Success experience preferred
  • Programming Languages: Proficient in SQL for data extraction and manipulation
  • Visualization Tools: Experience with Tableau for dashboard creation and data visualization
  • AI Tools: Some experience using AI-assisted coding and analysis tools (e.g., Cursor, Claude) to improve speed and quality of work
  • Data Visualization and Analytics: Strong analytical, problem-solving, and critical thinking skills. Proficient in BI tools like Tableau.
  • Domain Expertise: Familiar with Customer Success workflows, KPIs, and operational lifecycles of a software company preferred but not required
  • Project Tracking: Comfortable working in Jira to manage and track analytics tasks
  • Travel: Minimal travel required (approximately 10% or less annually)

Qualifications
  • A relentless drive and a customer-first mentality are essential.
  • An attention to detail that ensures accuracy and reliability in findings that leads to trust and credibility with stakeholders.
  • The ability to break down complex problems, identify patterns, and derive meaningful insights from data.
  • Intellectual curiosity with a natural desire to explore data and ask questions that lead to deeper insights.
  • The ability to convey data insights clearly and effectively to both technical and non-technical stakeholders.
  • Ability to manage multiple projects and deadlines while prioritizing tasks.
  • Ability to thrive in a culture of transparency and direct feedback.