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Remote Analytics Jobs in North Carolina (NOW HIRING)

First Citizens Bank

AI & Advanced Analytics

Raleigh, NC · On-site +1

$143K - $190K/yr

Overview This is a remote role that may only be hired in the following locations: NC, NY The AI Adoption Analyst accelerates the organization's AI transformation by driving engagement, adoption, and ...

IQVIA

Associate Director, Data Analytics

Durham, NC · Remote

The Associate Director of Data Analytics provides technical and people leadership to design, build ... This is a remote/WFH opportunity available to candidates currently residing within the United ...

Aledade PBC

Senior Financial Analyst, Remote

Durham, NC · On-site +1

$82K - $102K/yr

The Senior Financial Analyst will work with the FP&A team to provide support with the annual budget ... remote-first culture - you've come to the right place. What Does This Mean for You? At Aledade PBC ...

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All JobsAnalytics JobsRemote Analytics JobsRemote Analytics Jobs in North Carolina

Remote Analytics information

See North Carolina salary details

$55K

$112.6K

$159K

How much do remote analytics jobs pay per year?

As of Aug 29, 2026, the average yearly pay for remote analytics in North Carolina is $112,554.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,100.00 and $139,500.00 per year, depending on experience, location, and employer.

What is a remote analytics professional?

A Remote Analytics job involves analyzing data and generating insights for an organization while working from a location outside of the traditional office, such as your home or another remote setting. Professionals in this field use statistical tools, data visualization, and reporting software to help companies make data-driven decisions. Their responsibilities can include gathering data, performing analyses, creating dashboards, and presenting findings to stakeholders—all accomplished through digital collaboration tools. This role is ideal for individuals who are comfortable working independently and have strong analytical and technical skills.

How do remote analytics professionals typically collaborate with cross-functional teams while working off-site?

Remote analytics professionals frequently collaborate with product managers, engineers, and business stakeholders through virtual meetings, shared dashboards, and collaborative project management tools. Effective communication and documentation are key to ensuring clear understanding of analytical findings and project goals. Many organizations use cloud-based platforms that allow real-time data sharing and feedback, enabling remote analytics teams to stay integrated with on-site colleagues and decision-makers. Regular check-ins and clear reporting structures also help maintain strong connections and accountability.

What are the key skills and qualifications needed to thrive as a remote analytics professional, and why are they important?

A Remote Analytics professional needs strong analytical skills, proficiency in data interpretation, and usually a background in statistics, mathematics, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau or Power BI is typically required, along with experience in cloud-based analytics environments. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for collaborating across remote teams and presenting insights effectively. These skills and qualities enable professionals to extract actionable insights from data, drive decision-making, and succeed in a remote work setting.

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

AspectRemote AnalyticsRemote Data Analyst
Required CredentialsBachelor's in Analytics, Data Science, or related fields; often certifications in analytics toolsBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentPrimarily uses analytics platforms, programming languages, and visualization tools remotelyFocuses on data interpretation, reporting, and visualization remotely
Employer & Industry UsageUsed across tech, finance, marketing, and consulting firms for strategic insightsCommon in finance, healthcare, and marketing sectors for data reporting

Remote Analytics and Remote Data Analyst roles share overlapping skills and work environments, but Remote Analytics often involves more advanced data modeling and strategic insights, while Remote Data Analysts focus on data interpretation and reporting. Both roles are vital in data-driven industries and frequently searched together by job seekers.

Can you work remotely in data analytics?

Remote data analytics jobs are common and often involve analyzing large datasets using tools like Excel, SQL, or Python. Many employers offer remote positions with flexible schedules, requiring strong communication skills and proficiency with data visualization tools. Certification and experience can enhance remote work opportunities in this field.

What are the most commonly searched types of Analytics jobs in North Carolina?

The most popular types of Analytics jobs in North Carolina are:

What are popular job titles related to Remote Analytics jobs in North Carolina?

For Remote Analytics jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Remote Analytics jobs in North Carolina look for?

The top searched job categories for Remote Analytics jobs in North Carolina are:

What cities in North Carolina are hiring for Remote Analytics jobs?

Cities in North Carolina with the most Remote Analytics job openings:

Remote Analytics jobs near you
Infographic showing various Remote Analytics job openings in North Carolina as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 2% In-person, and 98% Remote job distribution, with an average salary of $112,554 per year, or $54.1 per hour.

Business Analytics- Intern (Remote)

Charlotte, NC • On-site, Remote

DivIHN
See more jobs at DivIHNexternal

Contractor

Posted 15 days ago

Job description

For further inquiries about this opportunity, please contact one of our Talent Specialists, Tenishbabu at 224 507 1292 or Anto at 2243692969.
Title: Business Analytics- Intern (Remote)
Duration: 9 Months
Location: Charlotte, NC
Prefered candidates in EST, CST Time Zone
Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered.
Description
This role will be responsible for leading detailed research and analysis on assigned competitive intelligence topics in support of business strategy and planning activities. Analytics will also be applied internally to evaluate select business opportunities. Time will flex between ongoing analyst activities and project-based assignments.
Key Skills and Competencies
  • Advanced Analytics: Use data-driven approaches, statistical modeling, and machine learning tools to extract insights and inform decision-making.
  • Automation Expertise: Identify and implement process automation solutions to improve efficiency and scalability.
  • Business Acumen: Understand market dynamics, competitive positioning, and customer needs.
  • Strategic Thinking: Identify strategic issues, analyze research and data, consider implications, and make actionable recommendations.
  • Innovation Management: Collaborate on automation-driven innovation processes for product enhancements or process improvements.
  • Communication: Present updates, recommendations, and findings to senior leadership with clarity and precision.

Structure
1. Strategy & Planning: Developing strategies to address business challenges and long-term opportunities using analytics-driven insights.
2. Business Development: Exploring market opportunities and competitive analysis with automation tools to streamline workflows.
3. Manufacturing & Engineering: Understanding operations and using automation to improve efficiency and scalability.
4. Innovation Management: Collaborating with cross-functional teams to develop data-driven product improvements and automate processes.
By the end of the program, interns will have gained valuable insights into these areas and honed their ability to work independently, leverage automation, and deliver measurable results.
Job Responsibilities in Detail
1. Strategic Development
  • Define Strategic Issues: Analyze and articulate core problems or opportunities using advanced analytics.
  • Research and Analysis: Implement data collection pipelines and apply statistical and machine learning models for actionable insights.
  • Strategic Implications: Assess short-term and long-term effects of strategic options using predictive analytics and scenario modeling.
  • Actionable Recommendations: Present findings with automation-enhanced dashboards and clear action plans.
  • Execution: Implement strategies and monitor outcomes using automated tracking systems.

2. Data Analytics and Automation
  • Advanced Analytics: Use tools such as Python, R, SQL, or Power BI to analyze large datasets, model trends, and generate insights.
  • Automation: Identify repetitive tasks and implement process automation using tools like UiPath, Microsoft Power Automate, or custom scripts.
  • Quality Assurance: Ensure the accuracy and consistency of data-driven decisions by automating validation processes.
  • Cross-Functional Collaboration: Support decision-making with real-time, automated reporting shared across teams.

3. Innovation Team Engagement
  • Collaborate with multi-functional innovation teams to:
  • Develop value propositions for products and services using analytics and automation.
  • Forecast market opportunities with predictive modeling and automated data pipelines.
  • Conduct competitive assessments using automation tools to collect and analyze competitor data.

Qualities of a Successful Intern
  • Analytical Expertise: Strong ability to use data to identify patterns, solve problems, and inform strategies.
  • Automation Skills: Proficiency in identifying opportunities for process automation and implementing solutions.
  • Independence: Ability to manage work autonomously within a complex, global organization.
  • Organizational Skills: Effectively prioritize tasks and manage time to meet deliverables.
  • Judgment and Decision-Making: Use advanced analytics and automation tools combined with intuition to assess data and make sound recommendations.
  • Communication Skills: Clearly present updates, recommendations, and insights using automated dashboards and reports.
  • Collaboration: Work effectively with cross-functional teams, including business, operations, and technology leaders.

Education:
Bachelors

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