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Remote Data Analyst Jobs in High Point, NC (NOW HIRING)

Senior Accounting Analyst

Greensboro, NC · On-site +1

$64K - $80K/yr

This role is remote but must be based in Wisconsin. Candidates should reside in Wisconsin and be ... Support process efficiency, data validation and financial insights utilizing data analytics tools ...

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Remote Data Analyst information

See High Point, NC salary details

$30.3K

$73.7K

$121.3K

How much do remote data analyst jobs pay per year?

As of Aug 25, 2026, the average yearly pay for remote data analyst in High Point, NC is $73,730.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,800.00 and $86,500.00 per year, depending on experience, location, and employer.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

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, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.

What are the most commonly searched types of Data Analyst jobs in High Point, NC?

The most popular types of Data Analyst jobs in High Point, NC are:

What are popular job titles related to Remote Data Analyst jobs in High Point, NC?

For Remote Data Analyst jobs in High Point, NC, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst jobs in High Point, NC look for?

The top searched job categories for Remote Data Analyst jobs in High Point, NC are:

What cities near High Point, NC are hiring for Remote Data Analyst jobs?

Cities near High Point, NC with the most Remote Data Analyst job openings:

Infographic showing various Remote Data Analyst job openings in High Point, NC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $73,730 per year, or $35.4 per hour.

Financial Data & Commission Analyst (Entry-Level) - GSO & Remote (EST Only)

Network Wireless Solutions

Greensboro, NC • Remote

$55K - $60K/yr

Full-time

Re-posted 20 days ago


Job description

Position SummaryNWS is seeking a highly organized, analytical, and detail-oriented Finance Operations Analyst to join our growing Finance team. This role plays a key part in supporting financial operations, commission administration, reporting accuracy, data validation, and accounts payable activities across the organization.The ideal candidate thrives in a fast-paced environment, enjoys working with large data sets, and has a passion for operational efficiency, financial accuracy, and process improvement. This position offers an excellent opportunity for an early-career finance professional to gain hands-on experience in finance operations, analytics, reporting, and cross-functional business support.As a Finance Operations Analyst, you will collaborate closely with Finance leadership, Sales Operations, and other business teams to support commission processing, operational reporting, reconciliations, Excess & Obsolete (E&O) analysis, and recurring financial activities that directly contribute to business performance and decision-making.Key ResponsibilitiesCommission Administration & ReportingSupport the preparation, review, and validation of U.S. and Canadian commission statementsAssist with commission calculations, adjustments, reconciliations, and reporting accuracyInvestigate and resolve commission-related discrepancies and reporting issuesMaintain accurate supporting documentation and reporting recordsPartner with Finance and Sales Operations teams to ensure timely commission processingFinancial Data & Operational AnalyticsGenerate recurring operational and financial reports for leadership teamsPerform data cleansing, validation, and reconciliation activities to ensure reporting integritySupport reporting accuracy initiatives and process improvement effortsAssist with Excess & Obsolete (E&O) calculations, tracking, and reportingSupport ad hoc financial analysis and reporting requestsAccounts Payable & Financial Operations SupportAssist with invoice processing, vendor communication, and payment tracking activitiesSupport weekly payment runs, ACH/wire processing, and invoice approvalsMaintain accurate vendor records and financial documentationAssist with account reconciliations and financial record maintenanceSupport month-end AP close activities, accruals, and audit preparationProcess Improvement & Administrative SupportMaintain financial reporting files, templates, and operational documentationSupport month-end, quarter-end, and year-end finance activitiesAssist Finance leadership with special projects and operational initiativesIdentify opportunities to improve reporting efficiency, workflows, and data accuracyContribute to the continuous improvement of finance operations processesQualifications & ExperienceRequired QualificationsPost-secondary education in Finance, Accounting, Business, Analytics, or a related fieldStrong Microsoft Excel skills, including data analysis and reportingExcellent attention to detail and organizational abilitiesStrong analytical and problem-solving skillsAbility to work with large data sets and manage multiple prioritiesEffective verbal and written communication skillsBasic understanding of Accounts Payable processes and financial reconciliationExperience handling invoices, vendor records, and payment processing activitiesPreferred QualificationsInternship, co-op, or entry-level experience in finance, analytics, reporting, or operationsExperience working with ERP, CRM, or financial reporting systemsUnderstanding of commission structures and financial reporting processesExperience with data validation, reconciliation, and operational reportingSkills & CompetenciesFinancial & Analytical Expertise: Strong ability to analyze financial data, perform reconciliations, validate reporting accuracy, and identify trends or discrepancies within large data sets.Technical Proficiency: Advanced proficiency in Microsoft Excel and experience working with ERP systems, financial reporting platforms, CRM tools, and data management systems.Operational & Business Acumen: Understanding of finance operations, commission processes, accounts payable workflows, and cross-functional business operations.Attention to Detail: Highly detail-oriented with a strong focus on accuracy, organization, and maintaining data integrity across financial processes and reporting.Communication & Collaboration: Strong interpersonal and communication skills with the ability to work effectively across Finance, Sales Operations, and leadership teams.Problem-Solving & Critical Thinking: Analytical mindset with the ability to identify issues, investigate discrepancies, and implement practical, process-driven solutions.Time Management & Adaptability: Ability to manage multiple priorities, meet deadlines, and thrive in a fast-paced, evolving environment.Process Improvement Mindset: Proactive approach to identifying opportunities for operational efficiencies, automation, and continuous improvement within finance processes.Reporting StructureThis role reports directly to the Finance team and works closely with Finance leadership, Sales Operations, and cross-functional business partners throughout the organization.Compensation & BenefitsCompetitive salary based on experienceComprehensive benefits packageOpportunity for professional growth and career developmentCollaborative and team-oriented work environmentKey Performance Indicators (KPIs)The Finance Operations Analyst will be measured on the successful execution and accuracy of financial and operational support activities, including:Commission Accuracy Rate: Maintain a high level of accuracy in commission calculations, reporting, and reconciliations.Reporting Timeliness: Ensure recurring financial and operational reports are completed accurately and delivered within established deadlines.Data Integrity & Reconciliation Accuracy: Minimize reporting discrepancies through accurate data validation, cleansing, and reconciliation activities.Accounts Payable Processing Efficiency: Support timely invoice processing, payment approvals, and vendor account maintenance.Month-End Close Support: Contribute to the successful completion of month-end and quarter-end finance activities within required timelines.Issue Resolution Turnaround: Timely identification, investigation, and resolution of commission, reporting, or payment discrepancies.Process Improvement Contributions: Identify and implement workflow improvements that enhance operational efficiency, reporting accuracy, or process scalability.Stakeholder Support & Responsiveness: Deliver responsive and professional support to Finance leadership, Sales Operations, vendors, and internal stakeholders.Compliance & Documentation Accuracy: Maintain organized and audit-ready financial records, reporting documentation, and supporting files.