Financial Data Specialist
Posted on 3/23/2023
INACTIVE
Gro Intelligence

51-200 employees

Agriculture & climate insight platform
Company Overview
Gro's mission is to illuminate the interrelationships between the Earth’s ecology and our human economy, the company allows users to see the big picture and act on the small details. From assessing the impact of climate change in real time to optimizing agricultural supply chains, Gro’s data, analytics, and forecast models provide the honest answers to what on earth is going on.
Food & Agriculture
Data & Analytics
Government & Public Sector
AI & Machine Learning
Financial Services

Company Stage

Series B

Total Funding

$121.1M

Founded

2014

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

-7%

1 year growth

-3%

2 year growth

18%
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
SQL
Pandas
Data Analysis
CategoriesNew
AI & Machine Learning
Software Engineering
Requirements
  • 1+ years of experience as a data analyst or in a related field working in data development and data management
  • Undergraduate degree in Economics, Finance, Computer Science or other quantitative disciplines
  • Experience working with financial data sets, especially with vendors such as Bloomberg and Refinitiv
  • Strong SQL skills and experience with database schema design
  • Demonstrable programming experience, especially with Python and Python Pandas
  • Ability to collaborate within a multidisciplinary team as well as with non-technical team members
  • Exceptional written, oral, and presentation abilities
Responsibilities
  • Source and manage financial data sets from various vendors
  • Test and develop systems and techniques for large scale data pipelines and computation
  • Participate in the modeling and research process as a data expert, providing technical expertise in data storage structures, data mining, and data cleansing
Desired Qualifications
  • Experience / interest with climate data or climate science
  • Experience working with location, point-of-interest, or geospatial data