Data Analytics Engineer Manager

Summary

Join Excess Telecom, a leading provider of mobile broadband services, as their Manager Data Analytics Engineer. This role involves overseeing the data warehouse pipeline, working with technical and business teams to enhance data models, and ensuring reliable data for internal and external use. You will transform data, create insights, apply best practices, and lead a team supporting the organization. Key responsibilities include mentoring team members and applying machine learning algorithms. The ideal candidate possesses extensive experience in data-driven organizations and expertise in SQL, data modeling, and various data analytics tools.

Requirements

• 5+ years of working in data driven organizations with a bachelor’s degree in computer science or related experience
• Expert in SQL query language
• Strong understanding and experience with development methodologies, including waterfall and agile
• Experience with the integration of systems and data sources
• Create process models and outline requirements for business leaders
• Experience working with cloud database platforms and ability to maintain, scale, configure and integrate. Snowflake and MySQL preferred
• Proficient with Data Analytics tools like Tableau, Sigma and Power BI
• Experience in data pipeline management including ETL tools, Estuary, Lambda, DBT and Python
• Working knowledge of Git or other version control systems
• Knowledge of software engineering best practices and experience applying them to analytics code
• Critical thinker and problem solver with ability to communicate with all levels of stakeholders
• Understanding of AI, machine learning and other robotic tools
• Excellent interpersonal skills, including negotiation and problem resolution in a cross-functional team

Responsibilities

• Identify, collect and integrate data from various sources
• Ensure data quality and consistency
• Define and create data models that populate databases and data sources
• Design, create and manage databases and data sources to store and organize data efficiently
• Work with already created data models to drive value to the business through processes and reporting
• Partner as a technical liaison between customers and technical teams
• Create visualizations, dashboards, and reports to communicate findings and insights to stakeholders
• Write programs and scripts to automate data processing tasks utilizing programming languages such as Python, DBT and SQL
• Work closely with business analysts, data teams and other stakeholders to understand requirements and deliver actionable insights
• Ensure data security and compliance
• Document best practices in data and pipeline management and work with stakeholders to educate teams on the use of the data
• Manage team of data analyst and data analytic engineer
• Lead and coordinate design/implementation efforts with internal teams and external partners
• Apply Machine learning algorithms for predictive modeling and data classification tasks

Preferred Qualifications

Industry Knowledge (Telecommunications)

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Flexible schedule
• Paid time off