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:

• Be a result driven and optimistic problem solver
• Comfort working in a highly agile, intensely iterative environment
• Self-motivated and self-managing, with task organizational skills
• Great communication: Regularly achieve consensus amongst technical and business teams
• Demonstrated capacity to clearly and concisely communicate complex business activities, technical requirements, and recommendations
• Demonstrated experience with one or more of the following business subject areas: marketing, finance, sales, product, customer success, customer support, or engineering
• Highly proficient in SQL. You can interpret and optimize queries, for performance, written by other analysts and engineers
• Experience in data transformations and modeling using dbt
• Experience in using GenAI in data pipelines for transformations
• Experience using AI to assist with code creation and modification

Qualifications

• 3+ years in the data space as an analyst, engineer, or equivalent
• 3+ years’ experience designing, implementing, operating, and extending enterprise dimensional models
• 3+ years working with a large-scale data warehouse, preferably in a cloud environment
• 1+ years’ experience building reports and dashboards in a data visualization tool
• 1+ years maintaining a project workstream to identify tasks, milestones, and deliverables

DEI Statement

Cybersecurity is a community effort. That’s why we’re committed to building an inclusive, diverse community that celebrates and welcomes everyone – unless they’re a cybercriminal, of course.

We’re proud to be an Equal Opportunity and Affirmative Action Employer, and we’d encourage you to join us whatever your background. We particularly welcome applicants from traditionally underrepresented groups.

We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won’t affect your application.

Due to certain obligations to our customers, an offer of employment will be subject to your successful completion of applicable background checks, conducted in accordance with local law.