Website S&P Global
About Panjiva
Panjiva is a data-driven technology company that uses machine learning to extract insights from
global trade data. This unstructured data describes the behavior of the many real-world entities
such as companies, products, and ports, that make up international trade in goods across
borders. Our technology and expertise allow us to extract and link these entities from our
database of billions of individual records. This data powers the Panjiva platform, through which
we provide powerful search, analysis, and visualization capabilities to our customers.
Recognizing Panjiva’s cutting-edge technology, S&P Global’s Market Intelligence division
acquired Panjiva in 2018. This acquisition has grown our resources, dramatically expanded our
access to data, and accelerated our growth plans. Current Panjiva clients include Fortune 500
companies, hedge funds, and logistics providers, in addition to universities, government
agencies, and NGOs.
Job Description
The Panjiva Data Science Team combines analysis with R&D to build and improve Panjiva’s
analytical layer. We are seeking talented analysts to join our team.
The focus of the analyst’s work is on discovering insights, working with data scientists to
automate these insights, and building prototypes of new data products. Analysts accomplish
these tasks with a combination of existing domain expertise, open source research, structured
analytical thinking, and the full suite of Panjiva technology.
As an analyst, you will learn to detect the imprint of current events in international trade and
security, as well as the long-term influence of history, geography, and economics, on Panjiva’s
corpus of data. You will learn the tools of data science and structured analysis and apply these
to challenging problems to produce both technological prototypes and written analytical
products for internal and external consumption.
Because of the fast-paced work environment, prospective analysts should be motivated
self-starters that enjoy a wide variety of analytic and logistical tasks and have strong written and
oral communications skills. As members of the Data Science Team, analysts have the
opportunity to investigate complex client use-cases and make serious and substantive
contributions to the shape of Panjiva’s product offerings. Applicants should be evidence-based
thinkers who are willing to engage in productive, Socratic discussions.
The ideal candidate is an individual who has always wanted to use technology and / or
unstructured data to better answer a research question.
Responsibilities
● Develop expertise on a given sector served by Panjiva
● Conduct and manage research within a well-defined geographic and topical scope
● Generate well-researched analysis based on shipment-level data and gather, organize,
and input related primary and open-source documents
● Evaluate datasets for their synergy with Panjiva’s existing offerings, utility in ongoing
research, or application in developing new technologies
● Collaborate closely with data scientists, engineers, and researchers to improve Panjiva’s
data-driven, machine learning technologies and create prototypes of new data tools
● Deliver insights through written reports, presentations, and enterprise client interactions
Qualifications
● Candidates must have strong English-language writing and research skills, be effective
critical thinkers, be detail-oriented under pressure, and be able to function well on a team
● Demonstrated proficiency in using both primary and open source information and data
● At least 1 year previous work experience relating to research and analysis (including
work completed while at university) is highly desirable
● Experience with at least one data analysis technology (e.g. SQL, R, Excel, Tableau),
with optional advanced programming or technical skills (advanced SQL, Python, or R)
● Experience working with large, unstructured datasets
● Practical and/or academic experience in one of the following areas, or a related
analytical discipline, is desirable:
○ International relations, political science, or history
○ Economics or statistics
○ Finance, insurance, or banking
○ Geospatial analysis, geography, or cartography
○ Military or commercial logistics
○ Comparative linguistics
● Foreign language proficiency (Spanish, Russian, Mandarin, Vietnamese, and Korean
highly desirable)
● Curiosity, reliability, a sense of humor, and a strong interest in learning about
international relations and global trade are all preferred