Dow Jones · 3 weeks ago

Summer 2025 Internship - Data Analyst

New York, NY

Internship, Full-time

Hybrid

Intern

$25/hr - $25/hr

Start in 2025 Summer

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Responsibilities

Assist with customer-facing report deliveries, both existing and ad hoc requests

Interpret trends from data and work closely with stakeholders to enable them to understand the dynamics behind the data

Contribute to the development of daily, weekly, monthly, and quarterly dashboards and assist in building new dashboards using Adobe, Tableau, Google Analytics, or other approved data visualization tools leveraging our own internal data lakes

Apply fundamental skills in quantitative analysis, data exploration, and the presentation of data to see beyond the numbers and understand how our users interact with our products

Support the company's use of state-of-the-art technology end-to-end; from data pipelines, to analysis, models, algorithms and visualization

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data AnalysisSQLPythonMicrosoft ExcelData VisualizationCloud InfrastructureQuantitative AnalysisHands-on Coding Experience

Required

Completed at least 2 years toward your Bachelor's degree in a quantitative subject (Statistics, Engineering, Economics, etc.)

Exposure to data analysis and problem solving with large amounts of diverse data

Basic fluency in SQL, Python or knowledge of relational databases and methods for efficiently retrieving data

Strong Microsoft Excel skills are required including advanced formulas and functions

Effective verbal and written communication skills. Ability to communicate the results of analyses clearly and effectively

Demonstrated curiosity to dive into available data and enjoy searching for patterns that could indicate new insights

Assist with customer-facing report deliveries, both existing and ad hoc requests

Interpret trends from data and work closely with stakeholders to enable them to understand the dynamics behind the data

Apply fundamental skills in quantitative analysis, data exploration, and the presentation of data to see beyond the numbers and understand how our users interact with our products

Support the company's use of state-of-the art technology end-to-end; from data pipelines, to analysis, models, algorithms and visualization