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Junior Analyst

Job in New York, New York County, New York, 10261, USA
Listing for: Dia Ventures
Full Time position
Listed on 2026-07-09
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: New York

We are looking for talented individuals to join our growing team. As a Junior Analyst, you have opportunities to work on a variety of high-profile projects under the mentorship of senior consultants and in collaboration with key decision-makers in Fortune 500 companies. You will enjoy working with rich data, cutting-edge analytics and technology and have the ability to see your insights turn into real business impact on a regular basis.

A successful candidate will be technically sophisticated, motivated, methodical, hard-working and full of intellectual curiosity.

Responsibilities
  • Integrate and transform large multi-dimensional data.
  • Work closely with project managers and team to deliver in-depth analytics and insights using advanced quantitative approaches (e.g. segmentation, profiling, modeling.
  • Build, test, implement and document sophisticated predictive models to solve business problems and drive critical decision making.
  • Deliver results packaged in client-ready format in a timely and efficient manner
  • Communicate key insights and results to clients
Requirements
  • Bachelor’s degree in a quantitative discipline (computer science, engineering, mathematics, econometrics, statistics of others).
  • Solid analytical skills in analyzing, visualizing and interpreting data, and deriving insights.
  • Ability and desire to learn quickly and attention to detail.
  • Strong initiative, self-motivation and ability to work in teams.
  • Excellent verbal and written communication skills.
  • Flexibility to travel and adaptability to different working circumstances.
  • Proficient in MS Office (Excel, PowerPoint, Word and Outlook).
  • Experience of statistical programming languages such as Python, SAS or R is preferred.
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