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Data Analytics Mba Jobs in Raleigh, NC (NOW HIRING)

GRIFOLS, S.A.

Logistics Business Analyst

Clayton, NC · On-site

Preferred in Business Administration (MBA), Data Science, or a related field. Experience: • Years of Experience: 4 years of experience in business analysis or a related field required. • ...

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site

D. in Data Science, Computer Science, Statistics, or a related field; MBA or additional business ... LexisNexis is a data analytics company that provides information solutions and law legal databases ...

NCSU

Lecturer-IT and Analytics

Raleigh, NC

... (MBA), economics, management (including specialized degrees); as well as a doctoral degree in ... Analytics courses could include business analytics or data engineering. Other Responsibilities * Be ...

NCSU

Lecturer, Accounting

Raleigh, NC

... MBA (Masters of Business Administration). Teaching is in one of the following areas: accounting information systems, auditing, business/data analytics, business law, financial accounting ...

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All JobsData Analytics Mba JobsData Analytics Mba Jobs in Raleigh, NC

Data Analytics Mba information

See Raleigh, NC salary details

$55

$57

$58

How much do data analytics mba jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for data analytics mba in Raleigh, NC is $57.58, according to ZipRecruiter salary data. Most workers in this role earn between $57.02 and $58.17 per hour, depending on experience, location, and employer.

What is a Data Analytics MBA?

A Data Analytics MBA is a Master of Business Administration program with a concentration in data analytics. This specialized MBA combines core business management education with in-depth training in data analysis, statistical modeling, and data-driven decision-making. Graduates gain skills in interpreting complex data, using analytics software, and applying insights to solve business problems, preparing them for leadership roles in data-centric industries.

What is the difference between Data Analytics MBA vs Data Analyst?

AspectData Analytics MBAData Analyst
Required CredentialsMBA with specialization in Data Analytics or related courseworkBachelor's degree in relevant field; certifications like CAP, Microsoft Data Analyst
Work EnvironmentBusiness settings, strategic planning, cross-departmental collaborationData-focused roles, technical analysis, reporting
Employer & Industry UsageBusiness firms, consulting, finance, marketingTech companies, finance, healthcare, retail

In summary, a Data Analytics MBA prepares professionals for strategic roles combining business acumen with data skills, while a Data Analyst focuses on technical data analysis and reporting. The MBA offers broader managerial and strategic perspectives, whereas the Data Analyst role is more technical and specialized.

How does a Data Analytics MBA typically work with cross-functional teams to drive business decisions?

As a Data Analytics MBA, you'll frequently collaborate with colleagues from departments such as marketing, finance, operations, and IT. Your role is to translate complex data insights into actionable strategies that align with business objectives. This often involves presenting findings to non-technical stakeholders, facilitating data-driven decision-making, and ensuring that analytics projects support overall organizational goals. Strong communication and project management skills are essential, as you'll bridge the gap between technical teams and business leaders.

What are the key skills and qualifications needed to thrive as a Data Analytics MBA, and why are they important?

To excel as a Data Analytics MBA, you need a strong foundation in quantitative analysis, business strategy, and data-driven decision-making, typically supported by an MBA with a focus on analytics or a related discipline. Proficiency in data visualization tools (such as Tableau or Power BI), statistical software (like R or Python), and familiarity with databases and SQL are highly valued. Outstanding problem-solving abilities, communication skills, and the ability to translate data insights into actionable business recommendations set top performers apart. These skills are essential to bridge the gap between complex data analysis and strategic business objectives, driving value for organizations.
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Data Analytics Mba jobs near you
Infographic showing various Data Analytics Mba job openings in Raleigh, NC as of July 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $119,763 per year, or $57.6 per hour.
Data Analytics Business Analyst (Full-Time Remote)

Data Analytics Business Analyst (Full-Time Remote)

Alliance

Morrisville, NC • On-site, Remote

$81K - $104K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 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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