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Job ID : 35860

Location : New York, NY

Company Name : Matal

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary : $106200 - $107700  per year

No. of Positions : I have ongoing need to fill this role

Required Skills : Data visualization, Data analysis, Machine learning..

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance

Job Description :


  • Deliver data research results to technical and non-technical audiences.
  • Document data product functional and technical requirements and collaborate with Engineering to build and implement them.
  • Collaborate with architects and platform engineering teams to optimize queries for performance and efficiency.
  • Mentor and help junior resources on best practices, code reviews and deployment processes.
  • Adherence to and application of Envestnet legal, compliance, risk, business continuity and administrative policy within the role and department including the timely completion of training & awareness, affirmations and testing as requested.
  • As part of the responsibilities for this role, you will understand and readily support Envestnet's established corporate business practices, policies, internal controls and procedures designed to create value or minimize risk.


  • Excellent communication with technical and non-technical audiences.
  • 5+ years working with and analyzing structured and unstructured data using SQL.
  • Advanced understanding of data visualization principles and best practices.
  • Experience communicating technical results to technical and non-technical audiences across all levels of an organization.
  • Excellent analytical and problem-solving skills, combined with strong business judgement and an ability to present analyses in a clear and compelling manner.
  • Strong understanding of data warehouse, relational and columnar databases.

Key Skills:

  • Data visualization.
  • Data analysis.
  • Machine learning.
  • Statistical analysis.
  • Communication.
  • Critical thinking.
  • Data cleaning and preparation.
  • SQL.

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