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Virtual Data Analyst information

See High Point, NC salary details

$30.3K

$73.7K

$121.3K

How much do virtual data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for virtual 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 is a virtual data analyst?

A Virtual Data Analyst is a professional who analyzes data remotely to help businesses make informed decisions. They collect, clean, and interpret datasets using tools like Excel, SQL, Python, or BI software. Their role includes identifying trends, creating reports, and providing actionable insights. This position is ideal for those comfortable working independently and collaborating online with teams.

What does a virtual data analyst do?

A typical workday for a Virtual Data Analyst involves collecting, cleaning, and analyzing large data sets, generating reports or visualizations, and presenting findings to stakeholders, all while collaborating remotely with team members and managers via digital tools. You might spend your mornings running data queries or troubleshooting datasets, while afternoons are often dedicated to meetings—either updating project teams or discussing insights with clients and decision-makers. Many virtual data analysts use task management software to track ongoing projects and prioritize deliverables in a remote setting. Expect to regularly engage in both independent work and virtual collaboration, making strong communication and self-management skills especially valuable. This role offers flexibility in your daily schedule, but typically involves deadlines and periodic teamwork to ensure business goals are met.

What skills and qualifications are needed to thrive as a virtual data analyst?

To thrive as a Virtual Data Analyst, you need a solid grounding in data analysis, statistical methods, and critical thinking, typically backed by a degree in a quantitative field such as mathematics, statistics, computer science, or economics. Familiarity with analytical tools like Excel, SQL, Python, or R, along with experience using data visualization platforms such as Tableau or Power BI, is highly valuable, and certifications in analytics or data science can enhance your qualifications. Excellent communication, time management, and problem-solving skills help you interpret findings for stakeholders and work effectively in a remote, collaborative environment. These abilities are essential for accurately analyzing data, conveying actionable insights, and delivering reliable results while working virtually.

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 Virtual Data Analyst jobs in High Point, NC?

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

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

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

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

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

Virtual Data Analyst jobs near you
Infographic showing various Virtual Data Analyst job openings in High Point, 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, with an average salary of $73,730 per year, or $35.4 per hour.

Product Operations Analyst (Data & Insights)

Inmar Inc.

Winston Salem, NC • On-site

$58.76 - $97.94/hr

Other

Re-posted 7 days ago

Job description

Position Summary

As a Product Operations Analyst (Data & Insights) within our Product Organization, you will play a critical role in enabling data-driven decision-making across the product lifecycle. This role focuses on analyzing product performance, customer behavior, and business metrics to generate actionable insights that inform product strategy, operational efficiency, and growth. You will partner cross functionally to ensure alignment between product performance and business objectives. This role requires a strong foundation in analytics, business acumen, and the ability to translate complex data into clear, compelling insights. This position offers the opportunity to build expertise in product analytics, experimentation, and strategic planning while contributing to a fast-paced, continuously improving product organization.

Primary AccountabilitiesProduct Strategy & Performance Insights (40%)

Support the development of product strategy and long-term objectives through data-driven insights and performance analysis. Analyze product data on usage, feature adoption, customer behavior, and performance trends to identify opportunities and risks. Partner with Product Managers to provide insights that support roadmap prioritization and strategic decision-making. Translate complex datasets into clear insights and recommendations for product leadership and stakeholders.

Data Analysis, Metrics & Reporting (40%)

Define, track, and report on key performance indicators (KPIs) related to product effectiveness, customer experience, growth, and operational health. Write and execute queries on large datasets to support ongoing analysis and ad hoc business questions. Develop and maintain dashboards and reporting frameworks to provide visibility into product performance. Monitor product and operational performance to proactively identify issues impacting adoption, retention, and profitability. Deliver regular reporting and insights to stakeholders, highlighting trends, risks, and actionable recommendations.

Continuous Improvement & Experimentation (20%)

Support a culture of experimentation by designing, measuring, and interpreting A/B and multivariate tests. Ensure analytical rigor in experimentation and clearly communicate results and implications. Identify opportunities to improve product operations processes, data quality, and reporting efficiency. Stay current on industry best practices in product analytics, experimentation, and data tooling. Collaborate cross-functionally to drive continuous improvement across the product development lifecycle.

QualificationsTechnical Skills and Experience
  • Education: Bachelor’s degree in Business, Data Analytics, Computer Science, Statistics, or a related field.
  • Experience: 2–4+ years of experience in product analytics, business intelligence, or a related analytical role.
Preferred Skills
  • Strong proficiency in querying large datasets (e.g., SQL).
  • Experience with BI and analytics tools such as PowerBI, Looker, Tableau, or similar.
  • Experience designing and analyzing A/B or multivariate experiments.
  • Familiarity with Agile product development methodologies.
  • Experience aligning analytics with OKRs, planning processes, and operational reporting.
  • Exposure to data modeling, Python, R, or advanced statistical techniques is a plus.
  • Experience in SaaS, technology, or platform-based organizations preferred.
Soft Skills
  • Analytical Thinking: Strong ability to interpret complex data and translate it into actionable business insights.
  • Communication: Excellent written and verbal communication skills, with the ability to influence stakeholders.
  • Collaboration: Ability to work cross-functionally and build strong relationships across product, engineering, and business teams.
  • Problem‑Solving: Proactively identifies issues and opportunities, with a focus on measurable outcomes.
  • Adaptability: Thrives in a fast‑paced, dynamic environment with evolving priorities.
Physical Demands

Regularly required to operate a computer and participate in virtual and in‑person meetings. Occasionally required to move or lift up to 25 pounds.

Compensation

The hiring range for this position is: 58,762.13–97,936.88USD Annual. The final offer may vary based on factors such as geographic location, job‑related skills, education, certifications, work experience, and other relevant considerations. Depending on the job level and role, it may include annual discretionary bonuses, equity grants, sign‑on bonuses, and other tailored incentive opportunities.

Equal Opportunity Employer

We are an Equal Opportunity Employer, including disability/vets.

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