Dow Jones is looking to solve problems related to data insights, engineering, and transformation strategy to support larger strategic goals across its Consumer and Professional Information divisions.
Requirements
- 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
- Exposure to cloud infrastructure, such as AWS/S3, is a plus
- Hands-on coding experience is a plus
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
Other
- BY NEXT SUMMER, YOU WILL BE: either a rising junior or rising senior in your undergrad program.
- Completed at least 2 years toward your Bachelor’s degree in a quantitative subject (Statistics, Engineering, Economics, etc.)
- 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
- This role is hybrid, based in our New York City office.
