Senior Analytics Engineer

Summary

Join Everbridge, a global leader in critical event management, as an Analytics Engineer. You will transform raw data into actionable insights, designing, implementing, and optimizing data models using dbt. Responsibilities include building dashboards using tools like Tableau or Power BI, conducting in-depth analysis, and collaborating with cross-functional teams. This mid-level role requires a Bachelor’s degree, 3+ years of experience in analytics engineering, proficiency in dbt and SQL, and excellent communication skills. The ideal candidate will also possess experience with other Modern Data Stack tools and domain knowledge in areas like financial or marketing analytics.

Requirements

• Bachelor’s degree in a related field (Computer Science, Engineering, Statistics, etc.)
• 3+ years of experience in analytics engineering or a related role
• Strong proficiency in dbt (data build tool) and experience with dashboard-building tools (e.g., Tableau, Power BI)
• Knowledge of SQL and database management
• Proficiency in git version control systems (e.g., GitHub, GitLab)
• Excellent project management, communication, and collaboration skills

Responsibilities

• Design, develop, and maintain data models using dbt to support analytical and reporting requirements
• Transform raw data into meaningful and accessible formats for analysis
• Create interactive and visually appealing dashboards using tools such as Tableau, Power BI, or other relevant platforms
• Conduct in-depth analysis to derive actionable insights and support data-driven decision-making
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions
• Communicate effectively with team members to ensure alignment on data modeling, analytics goals, and dashboard design
• Create and maintain documentation for data models, transformation processes, and dashboard development
• Document code and processes to ensure transparency and ease of collaboration
• Perform thorough testing and validation of data models and dashboards to ensure accuracy and reliability
• Troubleshoot and resolve data-related issues in a timely manner

Preferred Qualifications

• Experience with other tools in the Modern Data Stack (e.g., Fivetran, Stitch)
• Domain knowledge in one of the following: Financial analytics, Marketing analytics, Product analytics
• Understanding of data governance and security principles
• Ability to work independently and thrive in a remote work environment