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

EnthuZiastic

Growth Hacker - Remote

Durham, NC · Remote

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

EnthuZiastic

Growth Hacker - Remote

Raleigh, NC · Remote

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

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 ...

Lantern

Strategy Analyst

Raleigh, NC · Remote

... high-growth startup. This is a remote-first role with occasional (~1x month) travel ... Analyze claims and cost savings data to drive insights for reporting and product improvement

Lantern

Strategy Analyst

Durham, NC · Remote

... high-growth startup. This is a remote-first role with occasional (~1x month) travel ... Analyze claims and cost savings data to drive insights for reporting and product improvement

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 ...

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 ...

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 ...

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

Remote Data Analyst Startup information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

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

As of Jul 2, 2026, the average yearly pay for remote data analyst startup 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 Data Analyst at a startup, and why are they important?

A Remote Data Analyst at a startup requires strong analytical skills, proficiency in statistics, and experience with data visualization, often supported by a degree in a quantitative field. Familiarity with tools like SQL, Python or R, and platforms such as Tableau or Power BI, as well as experience with cloud-based collaboration tools, is typically expected. Outstanding communication, self-motivation, and adaptability are soft skills that help individuals excel in a fast-paced, remote startup environment. These abilities are vital for delivering actionable insights, collaborating effectively with distributed teams, and driving rapid, data-informed decisions.

How do Remote Data Analysts at startups typically collaborate with cross-functional teams despite working remotely?

Remote Data Analysts at startups often work closely with product managers, engineers, and marketing teams through frequent virtual meetings and collaborative tools like Slack, Zoom, and shared dashboards. Effective communication is key, as analysts need to clearly present their findings and translate data insights into actionable recommendations for different teams. The fast-paced startup environment means priorities can shift quickly, so flexibility and proactive engagement are important for staying aligned with the company's goals.

What is a Remote Data Analyst at a startup?

A Remote Data Analyst at a startup is a professional who collects, processes, and analyzes data to help the company make informed decisions, all while working from a remote location. Their work often involves creating reports, identifying trends, and providing actionable insights to support business growth and strategy. Since startups are fast-paced and dynamic, remote data analysts may also be expected to work with various teams, adapt to changing priorities, and use a wide range of analytical tools. Strong communication and self-motivation skills are essential for success in this role.
What are popular job titles related to Remote Data Analyst Startup jobs in Raleigh, NC? For Remote Data Analyst Startup jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst Startup jobs in Raleigh, NC look for? The top searched job categories for Remote Data Analyst Startup jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Data Analyst Startup jobs? Cities near Raleigh, NC with the most Remote Data Analyst Startup job openings:
Remote Data Analyst Startup 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 2 hours 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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