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Full Time Business Analyst Data Science Jobs in Raleigh, NC

Bachelor's degree in Business, Computer Science, Data Science, Information Systems, or a related field. * Proven experience as a Business Analyst, Technical Business Analyst, or in a related role.

Bachelor's degree in Business, Computer Science, Data Science, Information Systems, or a related field. * Proven experience as a Business Analyst, Technical Business Analyst, or in a related role.

Leads and oversees end-to-end data science initiatives, guiding teams through data cleansing ... Draws key business insights from advanced quantitative analyses and presents findings to broader ...

The Senior Plasma Logistics Business Analyst leverages data analysis to promote transparency and ... Awareness of evolving regulatory and data privacy standards applicable to life sciences supply ...

Senior Data Analyst

Raleigh, NC ยท On-site

$110/hr

Chief of Staff This role requires a full-time onsite presence in Durham, NC Target Base Range: $110 ... This role sits at the intersection of AI, analytics, data science, and business strategy ...

Senior Data Analyst

Raleigh, NC ยท On-site

$110/hr

Chief of Staff This role requires a full-time onsite presence in Durham, NC Target Base Range: $110 ... This role sits at the intersection of AI, analytics, data science, and business strategy ...

MANAGER, DATA SCIENCE The Manager of Data Science will build and lead a focused, high-impact team ... Operating in close partnership with business units, Central Analytics, and Data Engineering, this ...

The role exists to ensure AI/ML strategy is sound and that analytical models are correct ... We take care of you, so you cantake care of business. We care about our people. That's why we ...

The role exists to ensure AI/ML strategy is sound and that analytical models are correct ... We take care of you, so you cantake care of business. We care about our people. That's why we ...

Bachelor's degree in business administration, Computer Science, Engineering, or related field. * Experience in analytical tools and programming languages is strongly desired. * Experience in data ...

Analyze and assess data usage and product performance for maintenance prioritization. * 10% - ... Bachelor's level degree in Business Administration, Computer Science, Engineering or relevant field ...

Proficiency in data mapping, data validation, and advanced Excel (VLOOKUP/XLOOKUP, pivot tables ... Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model ...

Junior Data/Business Analyst-

Raleigh, NC ยท On-site

$25.75 - $34.50/hr

We are looking for a Junior Data/Business Analyst Required Skills: * IT knowledge as it relates to the operations and testing requirements of a clinical laboratory. * Experience with IT best ...

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Full Time Business Analyst Data Science information

See Raleigh, NC salary details

$19

$44

$72

How much do full time business analyst data science jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for full time business analyst data science in Raleigh, NC is $44.18, according to ZipRecruiter salary data. Most workers in this role earn between $34.13 and $51.88 per hour, depending on experience, location, and employer.

What is the difference between Full Time Business Analyst Data Science vs Data Analyst?

AspectFull Time Business Analyst Data ScienceData Analyst
Required CredentialsBachelor's in Business, Data Science, or related; often certifications in data analysis or business analysisBachelor's in Statistics, Data Analysis, or related; certifications like Microsoft Excel, SQL, or Tableau
Work EnvironmentBusiness settings, cross-functional teams, project-basedData-focused teams, reporting, data visualization tasks
Employer & Industry UsageFinance, healthcare, retail, consulting firmsMarketing agencies, finance, tech companies

Full Time Business Analyst Data Science roles focus on analyzing data to inform business decisions, often requiring a mix of technical and business skills. Data Analysts primarily handle data collection, cleaning, and visualization. While both roles involve data handling, Business Analysts Data Science typically engage in more complex modeling and strategic insights, making them suitable for roles requiring a broader understanding of business context.

What are popular job titles related to Full Time Business Analyst Data Science jobs in Raleigh, NC? For Full Time Business Analyst Data Science jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Full Time Business Analyst Data Science jobs in Raleigh, NC look for? The top searched job categories for Full Time Business Analyst Data Science jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Full Time Business Analyst Data Science jobs? Cities near Raleigh, NC with the most Full Time Business Analyst Data Science job openings:
Infographic showing various Full Time Business Analyst Data Science job openings in Raleigh, NC as of June 2026, with employment types broken down into 74% Full Time, 21% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $91,898 per year, or $44.2 per hour.
Data Analytics Business Analyst (Full-Time Remote)

Data Analytics Business Analyst (Full-Time Remote)

Alliance

Morrisville, NC โ€ข On-site, Remote

$81K - $104K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 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.