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Volunteer Data Visualization Analyst Jobs in Raleigh, NC

Duke University

Data Analytics Fellow

Durham, NC · On-site

The Data Analytics Practice within Duke's Office of Information Technology is a new practice that provides Data Visualization, Data Engineering, and Data Science support for the university ...

TEKsystems

Sr Data Scientist

Durham, NC

$70 - $95/hr

Data Visualization & Storytelling - Ability to communicate findings to both technical and non ... Microsoft Data & Analytics Ecosystem - Experience working within Microsoft-centric environments ...

TEKsystems

Sr Data Scientist

Durham, NC

$70 - $95/hr

Data Visualization & Storytelling - Ability to communicate findings to both technical and non ... Microsoft Data & Analytics Ecosystem - Experience working within Microsoft-centric environments ...

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All JobsVolunteer Data Visualization Analyst JobsVolunteer Data Visualization Analyst Jobs in Raleigh, NC

Volunteer Data Visualization Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

How much do volunteer data visualization analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for volunteer data visualization analyst in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

Where can I volunteer as a data analyst?

Volunteer data visualization analysts can find opportunities through nonprofit organizations, community projects, or online platforms like Catchafire and DataKind that connect volunteers with data-related projects. These roles often require skills in data analysis tools such as Excel, Tableau, or Power BI and may involve flexible schedules or remote work.

What is the difference between Volunteer Data Visualization Analyst vs Data Analyst?

AspectVolunteer Data Visualization AnalystData Analyst
Required CredentialsTypically relevant skills, certifications in data visualization tools (e.g., Tableau, Power BI)Often requires a degree in data science, statistics, or related fields
Work EnvironmentVolunteer settings, non-profits, community projectsCorporate, government, or organizational environments
Employer & Industry UsageNon-profit organizations, NGOs, community groupsBusinesses, government agencies, consulting firms
Common Search & Comparison IntentUnderstanding volunteer roles in data visualizationProfessional data analysis careers

The Volunteer Data Visualization Analyst focuses on creating visual data representations in volunteer or non-profit settings, often with less formal credentials. In contrast, Data Analysts typically work in professional environments requiring specific degrees and broader data analysis skills. Both roles involve data visualization, but their work contexts and credential requirements differ.

Is 40 too late for data science?

For a Volunteer Data Visualization Analyst or similar data roles, starting a career in data science at age 40 is feasible, especially with relevant skills like data analysis, visualization tools, and programming languages such as Python or R. Many professionals transition into data roles later in life, and experience can be an asset; continuous learning and certifications can enhance employability regardless of age.

Can I start data analyst with no experience?

A Volunteer Data Visualization Analyst role typically requires some knowledge of data analysis tools like Excel, Tableau, or Power BI, but many entry-level positions or volunteer opportunities are open to beginners. Gaining relevant skills through online courses, tutorials, or certifications can help you start with little to no experience, especially in volunteer or internship settings where practical skills are prioritized over formal credentials.

Will AI replace a data analyst?

AI can automate routine data processing and visualization tasks, but a data visualization analyst's role involves interpreting data contextually and communicating insights, which currently requires human judgment. While AI tools enhance efficiency, the role still relies on analytical skills, critical thinking, and domain knowledge that are difficult to fully automate.
What are popular job titles related to Volunteer Data Visualization Analyst jobs in Raleigh, NC? For Volunteer Data Visualization Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Volunteer Data Visualization Analyst jobs in Raleigh, NC look for? The top searched job categories for Volunteer Data Visualization Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Volunteer Data Visualization Analyst jobs? Cities near Raleigh, NC with the most Volunteer Data Visualization Analyst job openings:
Volunteer Data Visualization Analyst 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

Posted 12 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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