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Remote Data Analyst Python Jobs in High Point, NC

Varsity Tutors

Data Science Tutor

Greensboro, NC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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Data Science Tutor

Winston Salem, NC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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Remote Data Analyst Python information

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$73.7K

$121.3K

How much do remote data analyst python jobs pay per year?

As of Jul 9, 2026, the average yearly pay for remote data analyst python 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 is the salary of Python 2 years experience?

A remote data analyst with two years of Python experience typically earns between $60,000 and $80,000 annually, depending on location, industry, and skill level. Proficiency in data manipulation, visualization, and relevant tools like Pandas or SQL can influence salary ranges.

Can I be a data analyst with just Python?

A data analyst role typically requires knowledge of multiple tools and skills, including SQL, Excel, and data visualization software, in addition to Python. While Python is a valuable skill for data analysis, relying solely on it may limit your ability to perform all necessary tasks effectively. Developing a broader skill set can improve job prospects and performance in data analyst positions.

How do Remote Data Analyst Python roles typically coordinate with other team members, given the virtual work environment?

Remote Data Analyst Python roles usually involve frequent collaboration with cross-functional teams such as product managers, data engineers, and business analysts through virtual platforms. Communication is commonly facilitated via video meetings, chat tools, and shared project management software to ensure alignment on data requirements and project goals. While working remotely requires strong self-motivation, most organizations support analysts with regular check-ins and clear documentation practices. This collaborative structure helps maintain productivity and ensures that data insights are effectively integrated into decision-making processes.

Will AI replace data analysts?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and ensuring data quality. The role of a remote data analyst with skills in Python and data visualization remains valuable, as AI complements human expertise rather than replacing it entirely.

What is a Remote Data Analyst Python?

A Remote Data Analyst Python is a data professional who works primarily from a remote location, using Python programming to collect, analyze, and interpret data. Their responsibilities include cleaning and processing data, creating data visualizations, and building models to support business decisions. They often collaborate with teams virtually and use Python libraries such as pandas, NumPy, and matplotlib to handle complex data tasks. This role is ideal for those who have strong analytical skills, proficiency in Python, and the ability to work independently in a remote environment.

Is 40 too late for data science?

Age is not a barrier to becoming a data analyst or transitioning into data science; many professionals start or switch careers later in life. Success depends on acquiring relevant skills such as Python, SQL, and machine learning, along with practical experience and certifications. Employers value diverse backgrounds and experience, making 40 a reasonable age to pursue a data science career if you build your skills and portfolio.

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

To thrive as a Remote Data Analyst (Python), you need strong analytical skills, proficiency in Python programming, a solid grasp of statistics, and typically a degree in a quantitative field. Expertise with data analysis libraries (such as pandas and numpy), familiarity with data visualization tools (like matplotlib or Tableau), and experience with SQL databases are highly valued. Excellent problem-solving, communication skills, and self-motivation are crucial for collaborating remotely and delivering actionable insights. These skills enable you to efficiently interpret complex data, work independently, and provide valuable business recommendations from a remote setting.

What is the difference between Remote Data Analyst Python vs Remote Data Analyst R?

AspectRemote Data Analyst PythonRemote Data Analyst R
Required SkillsPython, SQL, data visualization, statistical analysisR, SQL, data visualization, statistical analysis
Work EnvironmentRemote, tech companies, finance, healthcareRemote, research institutions, analytics firms
CertificationsData analysis, Python programming certificationsData analysis, R programming certifications
Common UsageData cleaning, automation, machine learningStatistical modeling, data visualization, reporting

Both roles involve data analysis in remote settings, with Python-focused roles emphasizing automation and machine learning, while R roles focus more on statistical modeling and visualization. The choice depends on the specific tools and tasks preferred by the employer or industry.

What job categories do people searching Remote Data Analyst Python jobs in High Point, NC look for? The top searched job categories for Remote Data Analyst Python jobs in High Point, NC are:
What cities near High Point, NC are hiring for Remote Data Analyst Python jobs? Cities near High Point, NC with the most Remote Data Analyst Python job openings:
Remote Data Analyst Python jobs near you

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

Network Wireless Solutions

Greensboro, NC • On-site, Remote

$55K - $60K/yr

Full-time

Re-posted 5 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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