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Remote Data Analytics Intern Jobs in Raleigh, NC

Sennos

Data Engineer

Durham, NC · On-site +1

$110K - $132K/yr

Position Summary The Data Engineer sits within the Data & Analytics organization and supports the ... Office setting with remote/hybrid flexibility * Minimal travel required (occasional team meetings ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Data is central to our mission. We unify internal and external data on modern cloud platforms ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Data is central to our mission. We unify internal and external data on modern cloud platforms ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Experience working with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data Analytics Specialty certifications, Professional certification is a plus. * Bachelor Degree in ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Experience working with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data Analytics Specialty certifications, Professional certification is a plus. * Bachelor Degree in ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Experience working with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data Analytics Specialty certifications, Professional certification is a plus. * Bachelor Degree in ...

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All JobsData Analytics Intern JobsRemote Data Analytics Intern JobsRemote Data Analytics Intern Jobs in Raleigh, NC

Remote Data Analytics Intern information

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How much do remote data analytics intern jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for remote data analytics intern in Raleigh, NC is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.85 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Analytics Intern, and why are they important?

To thrive as a Remote Data Analytics Intern, you need foundational knowledge in statistics, data analysis, and proficiency with data manipulation, typically supported by coursework in data science or a related field. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is often expected. Strong communication, time management, and self-motivation are crucial soft skills for collaborating remotely and delivering results independently. These skills enable effective data-driven insights and ensure productivity in a virtual work environment.

What are some common challenges faced by Remote Data Analytics Interns and how can they overcome them?

Remote Data Analytics Interns often encounter challenges like maintaining clear communication with team members, staying self-motivated, and accessing necessary data or tools. To overcome these, it's important to proactively schedule check-ins with supervisors, utilize collaboration platforms (like Slack or Microsoft Teams), and clarify data access protocols early on. Setting a structured daily routine and keeping detailed notes can also help interns stay organized and productive while working remotely.

What does a Remote Data Analytics Intern do?

A Remote Data Analytics Intern assists companies in collecting, processing, and analyzing data to support business decisions, all while working from a remote location. Their responsibilities often include cleaning datasets, creating reports, visualizing data trends, and sometimes developing predictive models under the guidance of experienced analysts. Interns use tools like Excel, Python, R, or SQL to handle data tasks and may participate in virtual meetings to discuss findings and recommendations. This role helps interns gain practical experience in data analysis, problem-solving, and communication within a professional remote setting.

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

AspectRemote Data Analytics InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in data science, statistics, or related fieldOften holds a degree and may have some professional experience in data analysis
Work EnvironmentInternship, often part-time or temporary, with mentorship and trainingFull-time or part-time remote role with independent responsibilities
Employer & Industry UsageUsed by companies for entry-level training and talent pipelineUsed by organizations for ongoing data analysis and decision support

The main difference between a Remote Data Analytics Intern and a Remote Data Analyst lies in experience and responsibilities. Interns are typically students or recent graduates gaining practical experience, while Data Analysts are more experienced professionals performing ongoing data analysis tasks. Internships serve as training roles, whereas Data Analysts handle continuous, independent work in data-driven decision-making.

What are popular job titles related to Remote Data Analytics Intern jobs in Raleigh, NC? For Remote Data Analytics Intern jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Data Analytics Intern jobs in Raleigh, NC look for? The top searched job categories for Remote Data Analytics Intern jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Data Analytics Intern jobs? Cities near Raleigh, NC with the most Remote Data Analytics Intern job openings:
Remote Data Analytics Intern jobs near you
Data Analytics Business Analyst (Full-Time Remote, North Carolina)

Data Analytics Business Analyst (Full-Time Remote, North Carolina)

Alliance

Morrisville, NC • On-site, Remote

$81K - $104K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

Job description

The Data Analytics Business Analyst gathers and documents business and technical needs for data and analytics projects, converts them into analytical specifications and test plans, assists in building and validating dashboards, reports, and predictive models, and safeguards data quality and HIPAA compliance across all analytical solutions.
This position is full-time remote. Selected candidate must reside in North Carolina and be willing to travel to the home office (Morrisville, NC) for onsite team meetings as needed.
Responsibilities & Duties
Elicit and Document Analytics Requirements
  • Lead discovery meetings to capture business objectives, key performance indicators (KPIs), and reporting needs
  • Capture data source requirements, frequency, granularity, and any service level expectations (e.g., refresh windows)
  • Produce requirements artifacts such as Business Requirements Documents (BRDs), data modeling diagrams, and acceptance criteria that define the desired analytics outcomes
  • Analyze and Profile Data Perform data profiling on source systems (e.g., relational databases, data lakes, SaaS APIs) to understand completeness, consistency, and distribution of fields
  • Conduct gap analysis to identify missing attributes or mismatches against reporting specifications
  • Document data quality issues, propose validation rules, and define reconciliation procedures that support accurate analytics

Translate Requirements into Analytical Specifications
  • Develop detailed functional and technical specifications for data models, dimensional schemas (star/snowflake), and analytical pipelines (ETL/ELT, data wrangling scripts, BI tool configurations)
  • Collaborate with data engineers, data scientists, and BI developers to align design patterns, naming conventions, and reusable components
  • Ensure specifications address scalability, security (including HIPAA related data handling), and maintainability of analytical solutions

Plan and Execute Testing of Analytical Solutions
  • Create test plans, test cases, and validation data sets for unit, integration, and user acceptance testing of dashboards, reports, and predictive models
  • Support business stakeholders with UAT; log defects, prioritize fixes, and oversee retesting cycles
  • Verify performance (e.g., query response time, model runtime) against agreed upon thresholds

Support Implementation and Ongoing Operations
  • Assist with go live activities such as preparation of runbooks, standard operating procedures (SOPs), and cut over checklists for analytics releases
  • Monitor initial production runs, perform data reconciliations, and address any discrepancies that arise
  • Participate in incident response, root cause analysis, and documentation of lessons learned for continuous improvement

Maintain Documentation and Knowledge Base
  • Keep current inventories of data sources, data dictionaries, lineage diagrams, and model documentation up to date
  • Author and refresh end user guides, technical "how to" documents, and metadata catalogs in line with departmental standards

Communication and Collaboration
  • Translate complex analytical concepts into clear language for both technical and non technical audiences
  • Partner with internal business units, external data providers, and vendor teams to ensure alignment on data definitions, delivery schedules, and reporting expectations
  • Contribute to data governance initiatives, supporting standards for data stewardship, privacy, and compliance

Continuous Improvement
  • Identify opportunities to streamline analytics workflows through reusable templates, automation (e.g., CI/CD pipelines for data models), and self service tooling
  • Define and track analytics related KPIs such as report delivery timeliness, data quality error rates, and model accuracy
  • Recommend best practice enhancements to increase efficiency, data reliability, and user satisfaction

Minimum Requirements
Education and Experience
Vocational or Technical Training in in Computer Science, Information Systems, Business Administration, or a related field; and six (6) years of experience in data analytics or data science;
Or
Associate's degree from an accredited university in Computer Science, Information Systems, Business Administration, or a related field; and five (5) years of experience in data analytics or data science;
Or
Bachelor's degree from an accredited university in Computer Science, Information Systems, Business Administration, or a related field; and five (3) years of experience in data analytics or data science.
Knowledge, Skills, & Abilities
  • SQL (preferably T-SQL)
  • Communication skills
  • Data Visualization Tools
  • Software Development Life Cycle (SDLC)
  • Data Governance
  • Documentation Tools and Platforms

Employment for this position is contingent upon a satisfactory background check and credit check, which will be performed after acceptance of an offer of employment and prior to the employee's start date.
Salary Range
$81,873-104,388/Annually
Exact compensation will be determined based on the candidate's education, experience, external market data and consideration of internal equity.
An excellent fringe benefit package accompanies the salary, which includes:
  • Medical, Dental, Vision, Life, Long and Short-Term Disability
  • Generous retirement savings plan
  • Flexible work schedules including hybrid/remote options
  • Paid time off including vacation, sick leave, holiday, management leave
  • Dress flexibility

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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