ZipRecruiter

Log In

1

Data Analytics Mba Jobs in Virginia (NOW HIRING)

Palnar

Data Analytics

Reston, VA · On-site

... business administration, or other related discipline. Masters degree in a related discipline is a ... Data Analyst teams to develop and implement the Ab Initio solution - Develop generic solutions ...

MBAcsi

Senior Testing Technician-2321

Chantilly, VA · On-site

We have proven expertise in delivering custom data analytics, digital services, systems engineering, human factor engineering, and infrastructure solutions. MBA is headquartered in Chantilly ...

MBAcsi

Senior Testing Technician-2321

Chantilly, VA · On-site

We have proven expertise in delivering custom data analytics, digital services, systems engineering, human factor engineering, and infrastructure solutions. MBA is headquartered in Chantilly ...

previous pagenext page

Showing results 21-40

All JobsData Analytics Mba JobsData Analytics Mba Jobs in Virginia

Data Analytics Mba information

See Virginia salary details

$56

$58

$59

How much do data analytics mba jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for data analytics mba in Virginia is $58.73, according to ZipRecruiter salary data. Most workers in this role earn between $58.17 and $59.33 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.

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.

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.

Is a data analytics MBA worth it?

A data analytics MBA can enhance skills in data management, business strategy, and leadership, making graduates more competitive for roles such as data analyst or business intelligence manager. However, practical experience, technical skills in tools like SQL and Python, and industry certifications often have a significant impact on employability and salary potential. The value depends on career goals and the program's quality.

What are popular job titles related to Data Analytics Mba jobs in Virginia?

For Data Analytics Mba jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Data Analytics Mba jobs in Virginia look for?

The top searched job categories for Data Analytics Mba jobs in Virginia are:

What cities in Virginia are hiring for Data Analytics Mba jobs?

Cities in Virginia with the most Data Analytics Mba job openings:

Data Analytics Mba jobs near you
Infographic showing various Data Analytics Mba job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Hybrid job distribution, with an average salary of $122,153 per year, or $58.7 per hour.

Data Analytics

Palnar

Reston, VA • On-site

Full-time

Re-posted 11 days ago

Job description


5 Years' Experience
- Bachelor's degree in computer science, decision support systems (DSS), information engineering, business administration, or other related discipline. Masters degree in a related discipline is a plus.
- Experience with hands-on work designing and implementing data integration, Big Data, and/or business intelligence solutions
- Experience in design, development and tuning industry leading ETL, Big Data, and/or Business Intelligence software tools in data intensive, large scale environments.
- Must have hands-on Ab Initio ETL experience in a work (professional) setting.
- Good to have hands-on development experience with Hadoop and the Hadoop ecosystem including tools such as Hive, Spark, Spark Streaming, Kafka, Sqoop, Flume, etc.
- Strong SQL and data modelling skills like 3rd normal form and dimensional modelling
- Strong DB2/or any relational database, Java, and UNIX skills
- Understanding of newer or emerging trends such as Big Data, Columnar databases, NoSQL, Hadoop, MapReduce, social media, data visualization, XML, and unstructured text is a plus.
The responsibilities include, but not limited to:
- Coordinate with Enterprise Big Data Platform development and Data Product teams to understand the requirement
- Coordinate with Big Data, Ab Initio Admin, Data Architecture, and Data Analyst teams to develop and implement the Ab Initio solution
- Develop generic solutions using Ab Initio for new data integration requests
- Analyze and investigate data quality issues reported by Data Product teams
- Coordinate with Development and Prod Support team to investigate and address production issues
- Support releases by validating the data after deployments, as needed
Additional Skills:
- Excellent written and verbal communication
- Good to have hands on experience with CI/CD (Jenkins)
- Developing generic framework and automation
This is a hybrid role and the developer will be engaged in new development and operational tasks

Apply