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Data Analytics Masters Jobs in Virginia (NOW HIRING)

Palnar

Data Analytics

Reston, VA · On-site

Masters degree in a related discipline is a plus. - Experience with hands-on work designing and ... Data Analyst teams to develop and implement the Ab Initio solution - Develop generic solutions ...

DS Technologies Inc

Technical Data Analyst

Mclean, VA · On-site

... Data Analytics, Data Mining, or Data Science roles * Proven team leadership in data analysis (not just collaboration with PMs/Scrum Masters) * Proficient in SQL and Python scripting basics

MANTECH

Senior Data Scientist

Springfield, VA · On-site

In lieu of a masters degree, 10+ years of experience. In lieu of a bachelor's degree, 15+ years of experience • Expert-level knowledge of data analytics and data science principles, with a ...

ManTech

Senior Data Scientist

Springfield, VA · On-site

In lieu of a masters degree, 10+ years of experience. In lieu of a bachelor's degree, 15+ years of experience * Expert-level knowledge of data analytics and data science principles, with a ...

ManTech

Senior Data Scientist

Springfield, VA

In lieu of a masters degree, 10+ years of experience. In lieu of a bachelor's degree, 15+ years of experience * Expert-level knowledge of data analytics and data science principles, with a ...

Capital One

Director, Data Scientist

Mclean, VA · On-site

As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ... Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a ...

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All JobsData Analytics Masters JobsData Analytics Masters Jobs in Virginia

Data Analytics Masters information

See Virginia salary details

$22.9K

$99.6K

$178K

How much do data analytics masters jobs pay per year?

As of Jun 28, 2026, the average yearly pay for data analytics masters in Virginia is $99,551.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,728.00 and $129,832.00 per year, depending on experience, location, and employer.

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

AspectData Analytics MastersData Analyst
CredentialsTypically requires a master's degree in data science, analytics, or related fieldUsually requires a bachelor's degree in a related field; certifications can enhance prospects
Work EnvironmentAcademic, research, or advanced industry roles; often involves project-based workBusiness environments, working with data to generate reports and insights
Industry UsageUsed in academia, research institutions, and advanced analytics roles in industryCommon across industries like finance, healthcare, marketing, and technology

In summary, a Data Analytics Masters is an advanced qualification often required for specialized or research roles, while a Data Analyst is a more entry-level or mid-level position focused on analyzing data to support business decisions. Both roles share overlapping skills but differ in educational requirements and scope of work.

What are the key skills and qualifications needed to thrive as a Data Analytics professional with a master's degree, and why are they important?

To thrive as a Data Analytics professional with a master's degree, you need strong analytical skills, expertise in statistics, and advanced knowledge of data modeling, typically supported by a relevant STEM degree. Proficiency with tools such as SQL, Python, R, Tableau, and familiarity with machine learning platforms is commonly required, along with certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate. Excellent problem-solving abilities, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills and qualifications are essential for transforming raw data into strategic decisions that drive organizational success.

What is a Data Analytics Masters degree?

A Data Analytics Masters degree is a graduate-level program that focuses on teaching students advanced skills in analyzing, interpreting, and visualizing data to help organizations make data-driven decisions. The program typically covers topics such as statistics, machine learning, data mining, data visualization, and programming languages like Python or R. Graduates are prepared for careers in data science, business analytics, and related fields, where they can apply analytical techniques to solve real-world problems. This degree is ideal for individuals who want to deepen their understanding of data and pursue specialized roles in analytics.

Is 40 too late for data science?

Data Analytics Masters professionals can enter data science at any age, as the field values skills and experience over age. Many successful data scientists start or transition into the field later in life, often leveraging prior experience, certifications, and continuous learning to stay competitive.

What kind of jobs can I get with a master's in data analytics?

A master's in data analytics prepares individuals for roles such as data analyst, data scientist, business intelligence analyst, and data engineer. These positions involve analyzing large datasets, creating reports, and using tools like SQL, Python, or R to support decision-making across various industries.

What types of real-world projects or collaboration opportunities can Data Analytics Masters expect during their studies?

Data Analytics Masters programs often include hands-on projects where students work with real datasets from industry partners or simulate actual business scenarios. These projects typically involve teamwork, allowing students to collaborate with peers and sometimes with professionals from related fields such as business, engineering, or IT. This collaborative environment helps students develop both technical and communication skills, and provides valuable exposure to industry-standard tools and workflows. Additionally, these experiences can lead to networking opportunities and open doors for internships or job placements upon graduation.

Is AI replacing data analysts?

AI tools are automating certain data processing and analysis tasks, but data analysts are still essential for interpreting complex insights, making strategic decisions, and ensuring data quality. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication, which are not easily replaced by AI. Professionals in this field often need to develop expertise in analytics software, programming languages, and data visualization tools to stay relevant.

What is a Data Analytics Masters job?

A Data Analytics Masters job typically involves analyzing large datasets to extract insights that help businesses make data-driven decisions. Professionals in this role use statistics, machine learning, and data visualization tools to interpret trends and patterns. They commonly work in industries like finance, healthcare, marketing, and technology. Strong analytical skills, programming knowledge (e.g., Python, SQL, R), and expertise in data visualization tools (e.g., Tableau, Power BI) are essential.

Is it worth getting a master's degree in data analytics?

A master's degree in data analytics can enhance job prospects for data analysts by providing advanced skills in statistical analysis, programming, and data visualization tools like Python and Tableau. It often leads to higher salaries and more senior roles, but practical experience and certifications can also be valuable in this field.
What are the most commonly searched types of Data Analytics Masters jobs in Virginia? The most popular types of Data Analytics Masters jobs in Virginia are:
What are popular job titles related to Data Analytics Masters jobs in Virginia? For Data Analytics Masters jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Analytics Masters jobs in Virginia look for? The top searched job categories for Data Analytics Masters jobs in Virginia are:
Data Analytics Masters jobs near you
Data Analytics

Data Analytics

Palnar

Reston, VA • On-site

Full-time

Posted 20 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

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