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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 :

Responsiblties:

  • 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.

 Qualifications:

  • 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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