Business Analytics Developer I in Reston, Virginia at AccruePartners

Date Posted: 8/9/2019

Job Snapshot

Job Description

AccruePartners values our contract and consulting employees. We offer a competitive benefits package to meet the diverse needs of all of our contractor and consulting employees and their family members. Here is a listing of what our company offers: 401(k) Medical, Dental, Vision, Life Insurance, Employee Assistance Program, Medical and Prescription Drug, Short and Long-Term Disability Insurance. 

THE TEAM YOU WILL BE JOINING:

  • Fortune 500 Company
  • World leader in commercial data and insight
  • Constantly expanding the size and improving the quality of their global database; currently exceeding 280 million businesses worldwide
  • Focus on valuable relationships allowing customers to succeed

WHAT THEY OFFER YOU:

  • Culture: Energetic, forward thinking individuals, passionate about compliance, risk assessment and management
  • Growth: Partake in a learning program with robust curriculum that will enhance the value you bring to your team and the company
  • Opportunity: Extensive international network with offices on five continents
  • Stability: A storied and commanding brand with almost two centuries of experience

WHERE THE POSITION IS LOCATED:

  • Reston, VA

WHY THIS ROLE IS IMPORTANT:

  • Engage clients with colleagues to identify their business needs and develop, implement, and manage solutions
  • Participate in all aspects of a modeling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting
  • Strong understanding of NLP and text mining techniques.
  • Experience with unstructured datasets and making them structured
  • Ad-hoc analytics – process improvements, general analytics
  • Responsible for building AI and Data Science models with a main focus on mining insights from text corpora
  • Rapidly prototype various algorithmic implementations and test their efficacy using appropriate experimental design and hypothesis validation

THE BACKGROUND THAT FITS:

  • Basic Requirements:
    • Undergrad degree in a Risk related field (Accounting, Business, Economics, Finance, Math/Stat, Operations Research, etc.) with 1 to 3 years of applicable experience
    • Strong programming skills with the ability conduct research utilizing R, and Python to manipulate data and conduct statistical analysis
    • Strong SQL skills and experience
    • Ability to effectively communicate complex ideas to both a technical and non-technical audience
    • Willingness to travel to client locations as needed
  • Preferred qualifications:
    • Experience working with very large datasets
    • Experience working with outside clients on statistical engagements
    • Ability to program in other statistical analysis languages
    • Experience applying modern machine learning techniques