Manager, Data Engineering & Analytics - Remote Position

$116,600 - $189,600/Yr

UPS - Atlanta, GA

Full-time - Mid Level

Remote - Atlanta, GA

Couriers and Messengers

About the position

The Manager of Data Engineering & Analytics (Lead Data Engineer) role is a key position within the Finance & Accounting department, specifically under the Decision Support Tower. This role focuses on enhancing data engineering capabilities, driving analytics initiatives, and fostering collaboration between data engineering and data science teams. The ideal candidate will leverage their expertise in cloud technologies, data architecture, and data modeling to democratize data access across the organization and support advanced analytics efforts.

Responsibilities

• Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic partners.
• Define how to instrument, prioritize, and store data that powers AI/ML solutions.
• Apply expertise in data model development, data analytics, and data visualization tools to answer critical business questions efficiently.
• Lead the development and design of data engineering projects and guide the team in building solutions using statistical modeling and analysis tools.
• Develop and optimize procedures to productionalize datasets, data models, and data science models.
• Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility.

Requirements

• Minimum 4-5 years of experience in hands-on execution of data transformation programs.
• Strong understanding of data life cycle stages including data collection, transformation, analysis, and secure storage.
• Advanced experience in data environments to ensure scalability for throughput, real-time predictions, and data security.
• Minimum 3-4 years of experience in developing and implementing tactical and strategic solutions.
• Minimum 1-2 years of management experience, leading teams and projects.
• Strong experience in Cloud services platform tech stack, preferably Google Cloud Platform, Google BigQuery, Vertex AI, and Gemini AI.
• Coding expertise in SQL, BigQuery SQL, Python, and R.
• A Bachelor's degree in MIS, mathematics, statistics, or computer science, or equivalent experience.

Nice-to-haves

• 1-2 years of experience with Google Cloud Platform (GCP) including Google BigQuery and Looker.
• Expert SQL coder with a strong understanding of data interconnections between operational and business functions.
• Hands-on experience with data modeling and data visualization tools like Power BI, SAS, Looker, and Alteryx.
• A Master's degree in MIS, mathematics, statistics, computer science, analytics, or data science.

Benefits

• Medical/prescription drug coverage
• Dental & Vision Benefits
• Flexible Spending Account
• Health Savings Account
• Dependent Care Flexible Spending Account
• Basic and Supplemental Life Insurance & Accidental Death and Dismemberment
• Disability Income Protection Plan
• Employee Assistance Program
• Educational Assistance Program
• 401(k) retirement program
• Vacation
• Paid Holidays and Personal time
• Paid Sick/Family and Medical Leave time
• Discounted Employee Stock Purchase Program