Sr. Network Data Engineer

Global Channel Management, Inc; New York (NY); Hybrid; USD 100,000 - 130,000; Full time

Job summary

A leading data solutions firm is seeking a Remote Sr. Network Data Engineer with over 5 years of experience. The ideal candidate will have a strong background in data analysis, statistical modeling, and financial services data management. Responsibilities include developing data models, analyzing trends, and collaborating with senior leadership to drive data-driven decisions in a hybrid work environment.

Qualifications

• 5+ years experience in a data-centric role.
• Advanced statistical analysis and machine learning skills.
• Minimum of 3 years in financial services data management.

Responsibilities

• Analyze trends from modeling to inform business lines.
• Develop data mining models and statistical reporting.
• Collaborate with senior leadership and present data effectively.

Skills

Business experience in analysis/consulting

Data manipulation in Microsoft Excel

SAS

SQL

Python

Statistical analysis

Machine Learning modeling

ETL skills

Tools

Microsoft Excel

Snowflake

Kettle

MS SSIS

Alteryx

KNIME

Job description

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.