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Internship Data Analytics Masters Jobs in Virginia

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 ...

Works under the general supervision of the Missing Child & Data Analytics Team Program Manager ... Two years related work or internship experience preferred. * An equivalent combination of education ...

KPMG is currently seeking a Manager, Oracle Data & Analytics for our Consulting practice ... preferred. * MBA or MIS from an accredited college or university is preferred. Minimum of a ...

Analyze key data / metrics to identify trends and risks; developing mitigation solutions and ... Master's Degree in Analytics, MBA, or related advanced degree desired but not required Experience ...

... 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

Responsibilities : • Experience with data science toolkits, data analytics and statistical ... Masters Degree + 0 years of experience • High School Diploma + 8 years of experience • ...

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Internship Data Analytics Masters information

What jobs can I do with a masters in data analytics?

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

What cities in Virginia are hiring for Internship Data Analytics Masters jobs?

Cities in Virginia with the most Internship Data Analytics Masters job openings:

Infographic showing various Internship Data Analytics Masters job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

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