Global Channel Management, Inc
Sr. Network Data Engineer
Hybrid senior data engineer (2-3 days/week in office) who analyzes network and business data: building statistical, ML/deep-learning and data-mining models to detect network anomalies and drive optimization decisions. Core tools include SQL, Python/R/SAS, Excel, Snowflake and ETL tools, with financial-services data experience required.
- Compensation
- Not disclosed
- Location
- New York, New York, United States
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 5+ years of experience
- Minimum 3 years of business experience in business/product analysis, other analytics, marketing, operations and/or consulting
- Minimum 3 years of experience manipulating data in Microsoft Excel
- Minimum 3 years of experience with SAS, SQL, Python, SPSS, R or similar applications
- Advanced statistical analysis skills and Machine Learning / Deep Learning modeling
- Experience with Snowflake warehousing platform
- Advanced SQL skills
- Advanced ETL skills (e.g. Kettle, MS SSIS, Alteryx, KNIME)
- Programming language skills (e.g. JavaScript, Python, R)
- Hands-on experience in data analytics and interpreting statistical models
- Experience working with large databases and/or data-extensive environments
- Experience in a matrix structure communicating with technical and non-technical people
- Minimum 3 years of financial services related data management and reporting experience
- Excellent analytical, problem-solving, planning, organizational and project management skills
- Excellent communication skills; ability to deliver presentations that simplify complex insights for non-technical audiences
- Hybrid role: 2/3 days in the office at one of the listed locations
Nice to have
- Experience with Reinforcement Learning (MDP, Policy Optimization, Dynamic Programming)
Full description
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.