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

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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 Jul 29, 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.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data visualization, statistical analysis, and tools like Excel, SQL, and Python, leading to steady job growth in this field.

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, 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.

Can I do a data analyst job remotely?

Yes, many data analyst positions are available for remote work, especially those that involve analyzing data, creating reports, and using tools like Excel, SQL, and data visualization software. Remote data analysts typically need strong communication skills and proficiency with relevant software to collaborate effectively with teams online.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

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 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 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.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts will likely evolve to work alongside AI, focusing more on complex analysis, strategy, and decision-making that AI cannot fully replicate.

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.

More about Remote Data Analyst jobs
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 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:
Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in High Point, NC as of July 2026, with employment types broken down into 85% Full Time, 9% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% 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

Full-time

Re-posted 23 days ago

Job description

Position Summary

NWS 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 Responsibilities

Commission Administration & Reporting

  • Support the preparation, review, and validation of U.S. and Canadian commission statements
  • Assist with commission calculations, adjustments, reconciliations, and reporting accuracy
  • Investigate and resolve commission-related discrepancies and reporting issues
  • Maintain accurate supporting documentation and reporting records
  • Partner with Finance and Sales Operations teams to ensure timely commission processing

Financial Data & Operational Analytics

  • Generate recurring operational and financial reports for leadership teams
  • Perform data cleansing, validation, and reconciliation activities to ensure reporting integrity
  • Support reporting accuracy initiatives and process improvement efforts
  • Assist with Excess & Obsolete (E&O) calculations, tracking, and reporting
  • Support ad hoc financial analysis and reporting requests

Accounts Payable & Financial Operations Support

  • Assist with invoice processing, vendor communication, and payment tracking activities
  • Support weekly payment runs, ACH/wire processing, and invoice approvals
  • Maintain accurate vendor records and financial documentation
  • Assist with account reconciliations and financial record maintenance
  • Support month-end AP close activities, accruals, and audit preparation

Process Improvement & Administrative Support

  • Maintain financial reporting files, templates, and operational documentation
  • Support month-end, quarter-end, and year-end finance activities
  • Assist Finance leadership with special projects and operational initiatives
  • Identify opportunities to improve reporting efficiency, workflows, and data accuracy
  • Contribute to the continuous improvement of finance operations processes

Qualifications & Experience


Required Qualifications


  • Post-secondary education in Finance, Accounting, Business, Analytics, or a related field
  • Strong Microsoft Excel skills, including data analysis and reporting
  • Excellent attention to detail and organizational abilities
  • Strong analytical and problem-solving skills
  • Ability to work with large data sets and manage multiple priorities
  • Effective verbal and written communication skills
  • Basic understanding of Accounts Payable processes and financial reconciliation
  • Experience handling invoices, vendor records, and payment processing activities


Preferred Qualifications

  • Internship, co-op, or entry-level experience in finance, analytics, reporting, or operations
  • Experience working with ERP, CRM, or financial reporting systems
  • Understanding of commission structures and financial reporting processes
  • Experience with data validation, reconciliation, and operational reporting


Skills & Competencies


  • Financial & 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 Structure

This role reports directly to the Finance team and works closely with Finance leadership, Sales Operations, and cross-functional business partners throughout the organization.

Compensation & Benefits

  • Competitive salary based on experience
  • Comprehensive benefits package
  • Opportunity for professional growth and career development
  • Collaborative and team-oriented work environment


Key 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.

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