Remote Sr. Network Data Engineer

1 week ago

New York, United States Global Channel Management Full time

About the job Remote Sr. Network Data Engineer

Remote Sr. Network Data Engineer needs 5+ years experience

Remote Sr. Network Data Engineer requires:

  • Locations: Charlotte, Broomfield, CO, USA; Chicago, IL, USA; Denver, CO, USA; Iselin, NJ, USA; Lewisville, TX, USA; New York, NY
  • Hybrid Role 2/3 days in the office
  • Minimum of 3 years of business experience in business/product analysis, other analytics, marketing, operations and/or consulting
  • Minimum of 3 years of experience manipulating data in Microsoft Excel
  • Minimum of 3 years of experience with SAS, SQL, Python, SPSS, R or other like applications
  • Advanced statistical analysis skills and Machine Learning modeling, Deep Learning modeling.
  • Experience with Snowflake warehousing platform
  • Experience with Reinforcement Learning (MDP, Policy Optimization algorithm, Dynamic Programming algorithm) is a plus.
  • Advanced SQL skills.
  • Advanced ETL skills (e.g. Kettle, MS SSIS (SQL Server Integration Services), Alteryx, KNIME, etc.)
  • Experience with programming languages skills (e.g. JavaScript, Python, and R etc.
  • Hands-on experience in data analytics and in interpreting statistical models.
  • Experience working with large databases and/or in a data extensive environment.
  • Experience in a matrix structure and communicating with both technical and non-technical people.
  • Minimum of 3 years of financial services related data management and reporting experience.
  • Excellent analytical, problem-solving, planning, organizational and project management skills.
  • Excellent innovation, interpersonal, and communication skills. Ability to develop and deliver presentations that simplify complex solutions/insights for non-technical audiences.
Remote Sr. Network Data Engineer duties:
    • Analyzes and reviews trends found from modeling to inform other lines of business such as peer Analytical teams, Enterprise Monitoring teams and Business Management Office.
    • Develops data mining models, statistical reporting and data analysis methodologies to identify network anomalies and enable network optimization trough data driven decisions.
    • Partners with other areas of the business to model outcome of implementing potential business strategies.
    • Collaborate and present data to members of the Senior Leadership Team.
    • Apply customer, market, and strategic research to support strategic planning.
    • Collaborate with other data insights groups, IT and business intelligence units.
    • Manages large, complex projects or processes with limited oversight while working with other team members to ensure accurate findings and results.

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