Manager, Data Analytics Engineer

November 14

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Excess Telecom

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

📡 Telecommunications

Description

• 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.

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.

Benefits

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