Analytics Engineer

About the position : Analytics Engineer

The AI Transformation team at Mimecast is an exciting blend of business, data, and technology. Using a high-powered technology stack that includes Tableau, dbt, Cloud Computing platforms and business applications, the team delivers AI powered business solutions that turn data into actionable insight.  In turn, we enable our stakeholders to make smarter, AI driven decisions. This individual will be part of a fast-paced, team-centric environment committed to delivering strategic, management and operational insight.

At their core AI team members at Mimecast are strong in data and AI skills, but also want to balance that with their interest in business. This role requires a mixture of business acumen and technical expertise, along with an ability to build strong partnerships with business & technology partners. Success in the role will require a self-starter with a passion for collaborating with others to solve problems.

Key Responsibilities :

As an Analytics Engineer, you will be focused on building AI tools to be used across the enterprise, at scale, while building data models to support insights mined from Mimecast’s wide product portfolio. You'll work closely with our business stakeholders, data team and data scientists to create AI solutions that ensures the right information is available and accessible to all stakeholders throughout the organization. You will bridge the gap between business and technology, the Analytics Engineer role requires equal amounts business acumen and technical acumen.

The ideal candidate will :

• Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models
• Build trust in all interactions in AI solution development
• Be the primary point of contact for major sections of AI solutions and data models
• Design, develop, and extend dbt code to build upon AI data models
• Maintain the clear documentation for consumers of AI data sources
• Implement data ops principles in everything you do
• Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review.
• Approve AI data model changes for specific database and data model schemas
• Provide data modelling expertise to all teams through code reviews, pairing, and training to help deliver optimal, DRY, and scalable database designs and queries in Snowflake
• Update and create BI solutions that tie into AI

Essential Skills and Experience :

Qualifications