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

Parker

Pricing Analyst I

Greensboro, NC

Bachelor's degree in Business, Finance, Economics, Engineering, Data Analytics, or a related field. * Pricing experience including internships, co-ops, or entry-level roles * Strong analytical and ...

New

Pwc

Data Engineer - Senior Associate

Greensboro, NC

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Nextiny

Entry Level Digital Marketer

Elon, NC · On-site

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

Nextiny

Entry Level Digital Marketer

High Point, NC · On-site

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

Nextiny

Entry Level Digital Marketer

Greensboro, NC · On-site

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

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All JobsData Analyst JobsEntry Level Data Analyst JobsEntry Level Data Analyst Jobs in High Point, NC

Entry Level Data Analyst information

See High Point, NC salary details

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How much do entry level data analyst jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for entry level data analyst in High Point, NC is $29.38, according to ZipRecruiter salary data. Most workers in this role earn between $18.89 and $32.84 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data analysts and data scientists can start at any age, including 40, as long as they develop relevant skills such as programming, statistics, and data visualization. Many professionals successfully transition into data roles later in their careers by gaining certifications and practical experience.

Can you work as a data analyst without experience?

Entry level data analyst positions often do not require prior professional experience, but having skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

What does an Entry Level Data Analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having foundational skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

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, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace entry-level data analysts.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, who focus on understanding business needs; data scientists, who develop advanced models and algorithms; data engineers, who build and maintain data pipelines; and operations analysts, who optimize processes using data insights. Entry-level data analysts often start with business or operations analysis, developing skills in tools like Excel, SQL, and visualization software.

What Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree such as in statistics, mathematics, or computer science. These roles often focus on learning and developing analytical skills under supervision and may require little to no prior professional experience.

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

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.
More about Entry Level 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 Entry Level Data Analyst jobs in High Point, NC look for? The top searched job categories for Entry Level Data Analyst jobs in High Point, NC are:
What cities near High Point, NC are hiring for Entry Level Data Analyst jobs? Cities near High Point, NC with the most Entry Level Data Analyst job openings:
Entry Level Data Analyst jobs near you
Infographic showing various Entry Level 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 $61,103 per year, or $29.4 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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