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Remote Aviation Data Analyst Jobs in Raleigh, NC

Elder Research

Data Scientist

Raleigh, NC · On-site +1

Ability to work autonomously in a fully remote, flexible environment. * Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related ...

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All JobsRemote Aviation Data Analyst JobsRemote Aviation Data Analyst Jobs in Raleigh, NC

Remote Aviation Data Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

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

As of Jun 28, 2026, the average yearly pay for remote aviation data 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.

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

To thrive as a Remote Aviation Data Analyst, you need strong analytical abilities, aviation industry knowledge, proficiency in data analysis, and typically a degree in data science, statistics, or a related field. Familiarity with tools such as SQL, Python, Excel, and aviation data management systems is highly valuable, and certifications like Certified Analytics Professional (CAP) can be advantageous. Attention to detail, problem-solving, and effective remote communication are important soft skills for collaborating with teams and stakeholders. These skills ensure accurate insights, effective decision-making, and smooth operations in a data-driven, remote aviation environment.

What is the difference between Remote Aviation Data Analyst vs Remote Aviation Operations Coordinator?

AspectRemote Aviation Data AnalystRemote Aviation Operations Coordinator
Required CredentialsBachelor's in Aviation, Data Science, or related field; certifications like FAA or data analysis certificationsBachelor's in Aviation Management or related; certifications in operations or safety
Work EnvironmentData analysis, reporting, and modeling remotely; often in tech or aviation companiesCoordinating flight schedules, safety, and logistics remotely; in aviation or airline companies
Industry UsageCommonly used in aviation analytics, safety, and planning departmentsUsed in airline operations, flight planning, and logistics teams

The Remote Aviation Data Analyst focuses on analyzing aviation data to support decision-making, while the Remote Aviation Operations Coordinator manages flight operations and logistics remotely. Both roles require aviation knowledge but differ in daily tasks and focus areas.

What is a Remote Aviation Data Analyst?

A Remote Aviation Data Analyst is a professional who collects, processes, and analyzes aviation-related data—such as flight patterns, safety reports, and operational metrics—while working from a location outside of a traditional office or airport. They use statistical tools and software to interpret data and provide insights that help improve airline performance, safety, and efficiency. This role often involves creating reports and visualizations to support decision-making by aviation professionals and management. Remote Aviation Data Analysts typically collaborate with teams via digital communication tools and must be adept at handling large datasets and industry-specific software.

How does a Remote Aviation Data Analyst typically collaborate with airline operations teams and other stakeholders?

As a Remote Aviation Data Analyst, you’ll regularly interact with airline operations teams, safety departments, and IT specialists through virtual meetings and collaborative platforms. Communication is key, as you'll need to clarify data requirements, share analytical findings, and provide actionable insights to both technical and non-technical stakeholders. While much of your work is independent and data-focused, successful analysts proactively engage with colleagues to ensure their analyses align with operational priorities and contribute to decision-making. Building strong remote working relationships and maintaining clear documentation are essential for effective teamwork.
What are popular job titles related to Remote Aviation Data Analyst jobs in Raleigh, NC? For Remote Aviation Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Aviation Data Analyst jobs in Raleigh, NC look for? The top searched job categories for Remote Aviation Data Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Aviation Data Analyst jobs? Cities near Raleigh, NC with the most Remote Aviation Data Analyst job openings:
Remote Aviation Data 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 26 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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