Data Analyst Summer Intern Jobs in Washington

Proficiency in SQL, Python, database management, and ETL processes, particularly in dealing with ambiguous large-scale datasets

Develop professionally: enhance your skills at workshops and business overviews.

Education: MS+ with concentration in quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science, or similar discipline

Skills in handling diverse datasets from various origins to extract valuable business insights are essential

Excellent interpersonal and communication skills, enabling effective collaboration and teamwork.

Influence business performance: make an impact through meaningful project work.

Experience with machine learning, data mining, statistics, or graph algorithms in an academic or internship environment

Experience coding in R or Python

Experience with Data Visualization tools, including Tableau, Qlik, or Power BI

Knowledge of an object-oriented language, including Java, C++, C#, or Python

If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.

Ability to leverage expertise in data gathering, analytical, and problem-solving work

Dive into call center data to provide actionable insights in how to improve marketing, sales, and patient experience across the company

Strong analytical skills and attention to detail

Strong computer skills, analytical ability and abstract reasoning

Experience in SQL, Python, and Tableau preferred

Currently pursuing degree in Engineering, Computer Science, Statistics, Economics, or Mathematics, or a related field

MS Word, PowerPoint, and Excel

Experience with datasets, data cleaning, and data visualization preferred.

Detail-oriented with strong written and verbal communication skills.

Candidates must have proficiency in data analysis tools and programming languages such as Python, R, SQL, and Excel.

Candidates should be proficient in MS Office Suite.

The intern will have vast opportunities to learn and develop their descriptive, prescriptive, diagnostic, and predictive analysis.

The internship will begin on Monday, June 5, and end on Friday, Aug. 4, 2023.