Sorry, this listing is no longer accepting applications. Don’t worry, we have more awesome opportunities and internships for you.

Summer 2021 Data Strategy Internship

Dow Jones

Dow Jones

Summer 2021 Data Strategy Internship

Princeton, NJ
Internship
Paid
  • Responsibilities

    This position is entirely virtual but candidates will be expected to work in Princeton if a full-time offer is extended at the end of the internship.

    Job Description:

    Data is our compass. We let data, hard facts, and numbers drive our strategy, our product development, and our way forward. Here’s how we work: Our Data Strategy team collects and integrates our own proprietary data and third-party licensed content – we process and integrate millions of articles a day from more than 33,000 news and business sources from nearly 200 countries in 26 languages, while also providing equity exchange data from 49 countries and over 80,000 listed instruments. During this ten-week internship, you will work on a variety of projects and tasks assigned by and under the direction of managers in the Data Strategy organization. Among the projects our Data Strategy interns might work on in 2021 are the following:

    • Projects to help ensure the smooth passage and timely delivery of content from providers ranging from The Wall Street Journal to social media sources.
    • Research related to customized reports and newsletters from online news content and publicly available records.
    • Content enrichment projects related to a variety of automated and rules-based systems used to categorize Dow Jones content.
    • Testing the accuracy and completeness of Dow Jones data related to companies, executives, and financial markets.
    • Compiling reports for Dow Jones Due Diligence on companies and individuals to identify legal, regulatory, and reputational issues.
    • Building and enhancing content for Dow Jones Risk and Compliance in areas including anti-money laundering, anti-corruption, and economic sanctions.
  • Desired skills

    Knowledge, Skills, and Experience Required: We're looking for motivated candidates who are working towards a bachelor's degree with at least two years of school successfully completed. We also require:

    • Excellent research and editorial skills.
    • Knowledge of and interest in political and international affairs.
    • Enjoys working with news and information, without necessarily the desire to write the news
    • Exceptional verbal and written communication
    • In addition to English, other languages are a plus 
    • Are a reliable and responsible team member, open to different views and opinions and appreciate team diversity.
    • Ability to apply automation skills such as basic Python, HTML and/or SQL to manage solutions and data efficiently is an advantage.

    Application Requirements:

    • Resume
    • Cover letter
    • Either a YouTube video or 4-slide PowerPoint telling us how you believe data, hard facts, and numbers influence the world

    Dow Jones , Making Careers Newsworthy

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status. EEO/AA/M/F/Disabled/Vets .

    Dow Jones is committed to providing reasonable accommodation for qualified individuals with disabilities, in our job application and/or interview process. If you need assistance or accommodation in completing your application, due to a disability, please reach out to us at TalentResourceTeam@dowjones.com. Please put “Reasonable Accommodation" in the subject line.

  • Industry
    Online Media
  • About Us

    Starting out as a niche news agency in an obscure Wall Street basement, Dow Jones has become a worldwide news and information powerhouse, with prestigious brands including our flagship Wall Street Journal, Dow Jones Newswires, Factiva, Barron’s, MarketWatch and Financial News and other great products. World-class journalism lies at the core of our growing news-derived data capabilities, driven by innovation in AI and machine learning. We understand that the better the provenance of information, the greater the opportunity.