Remote Sr. Network Data Engineer

Global Channel Management, Inc; New York (NY); Hybrid; USD 95,000 - 130,000; Full time

Job summary

A leading technology consulting firm is seeking a Remote Sr. Network Data Engineer to develop data mining models and enhance operational efficiency through data-driven insights. The ideal candidate will have over 5 years of experience in business analysis, advanced skills in SQL, and experience with ETL tools. Excellent communication and project management skills are essential. This hybrid role requires collaboration with technical and non-technical teams to inform business strategies.

Qualifications

• 5+ years experience in business analysis, analytics, marketing, or consulting.
• Advanced skills in SQL and ETL.
• Experience in large databases and data-intensive environments.

Responsibilities

• Develop data mining models and statistical reporting.
• Collaborate with Senior Leadership Team.
• Manage complex projects with limited oversight.

Skills

Business analysis

Data manipulation in Excel

SAS

SQL

Python

Statistical analysis

Machine Learning

Communication skills

Project management

Tools

Snowflake warehousing

ETL tools (Kettle, MS SSIS, Alteryx)

Job description

About the job Remote Sr. Network Data Engineer

Remote Sr. Network Data Engineer needs 5+ years experience

• 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.)
• 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.
• 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.