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Remote Data Analyst Reddit Jobs in Raleigh, NC (NOW HIRING)

Data Engineer

Durham, NC ยท 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 ...

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Remote Data Analyst Reddit information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

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

As of Jul 7, 2026, the average yearly pay for remote data analyst reddit 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 is the difference between Remote Data Analyst Reddit vs Remote Data Scientist?

AspectRemote Data Analyst RedditRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQLBachelor's or higher in Data Science, Computer Science, or related; often includes advanced certifications or degrees
Work EnvironmentRemote, collaborative teams, often in tech, finance, or marketing industriesRemote, research-focused, often in tech, healthcare, or finance sectors
Employer & Industry UsageUsed by companies analyzing data trends, reporting, and dashboardsUsed for predictive modeling, machine learning, and complex data analysis

While both roles involve working with data remotely, Data Analysts focus on interpreting data and creating reports, whereas Data Scientists develop models and algorithms for deeper insights. The roles often overlap but differ in complexity and technical skills required.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication, which are difficult for AI to fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the workplace.

Is it easy to get a remote job as a data analyst?

Securing a remote data analyst position depends on your skills, experience, and proficiency with tools like Excel, SQL, and data visualization software. While demand for remote data analysts is growing, strong technical expertise and a solid portfolio can improve your chances of landing such roles.

How can I make 2000 a week working from home?

A remote data analyst can potentially earn $2,000 a week by working on high-paying projects, freelance contracts, or consulting roles that pay competitive rates. Building specialized skills in data visualization, SQL, or Python, and gaining certifications can increase earning potential, especially when working independently or through platforms that connect clients with skilled analysts.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data visualization, SQL, and statistical analysis, which can be learned through online courses or certifications regardless of age.
What are the most commonly searched types of Data Analyst Reddit jobs in Raleigh, NC? The most popular types of Data Analyst Reddit jobs in Raleigh, NC are:
What job categories do people searching Remote Data Analyst Reddit jobs in Raleigh, NC look for? The top searched job categories for Remote Data Analyst Reddit jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Data Analyst Reddit jobs? Cities near Raleigh, NC with the most Remote Data Analyst Reddit job openings:
Infographic showing various Remote Data Analyst Reddit job openings in Raleigh, NC as of July 2026, with employment types broken down into 61% Full Time, 12% Part Time, 7% Temporary, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $80,333 per year, or $38.6 per hour.
Data Analytics Business Analyst (Full-Time Remote, North Carolina)

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

Alliance

Morrisville, NC โ€ข On-site, Remote

$81K - $104K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 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.