Sr. Analytics Engineer

Job Description

As an Analytics Engineer at Everbridge, you will play a crucial role in transforming raw data into actionable insights. This mid-level position is ideal for a candidate with experience in analytics engineering, particularly with proficiency in dbt (data build tool). In this role, you will collaborate with cross-functional teams to design, implement, and optimize data models that support the companys analytical and reporting needs. Additionally, you will be responsible for building dashboards and conducting analysis to provide valuable insights What youll do: Data Modeling and Transformation: Design, develop, and maintain data models using dbt to support analytical and reporting requirements. Transform raw data into meaningful and accessible formats for analysis. Dashboard Building and 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. Collaboration and Communication: 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. Documentation: Create and maintain documentation for data models, transformation processes, and dashboard development. Document code and processes to ensure transparency and ease of collaboration. Quality Assurance: 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. What youll bring: 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. 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