Senior Analytics Engineer

As a Senior Analytics Engineer at Mejuri, you will be responsible for designing and optimizing complex data models, developing robust data pipelines, and creating self-service analytics tools like Looker dashboards. Your primary goal is to enable teams across the organization to make informed, data-driven decisions. You will collaborate with stakeholders to turn business requirements into actionable insights while ensuring the highest standards of data quality and governance.

To be considered for the Senior Analytics Engineer position at Mejuri, candidates should possess extensive experience with SQL and/or Python, along with proficiency in DBT for data modeling. Familiarity with BI tools, particularly Looker, is crucial for building effective dashboards. Additionally, strong communication skills and the ability to collaborate with diverse teams are essential to understand and translate technical concepts for non-technical stakeholders.

At Mejuri, we value continuous improvement and support our Senior Analytics Engineers in their career growth through mentorship opportunities and knowledge sharing. We encourage a culture where team members can participate in code reviews, training, and professional development initiatives, allowing you to enhance your technical expertise while contributing to meaningful projects within the organization.

Mejuri embraces a hybrid work model for our Senior Analytics Engineers, allowing for both in-office collaboration and remote work. You will be expected to work in our Toronto office three days a week while enjoying the flexibility of working from home for the remaining two days. This arrangement supports our commitment to teamwork while providing the balance necessary for personal productivity.

Senior Analytics Engineers at Mejuri enjoy a comprehensive benefits package that includes a minimum of three weeks of vacation, medical and dental coverage, mental health support, and generous parental leave. You’ll also have access to personal and religious observance days, performance reviews, and a fantastic employee discount on our beautiful jewelry, making your experience with Mejuri both rewarding and fulfilling.

When asked about your experience with data modeling, highlight specific projects where you've employed the Kimball methodology. Discuss the challenges you faced, how you optimized data structures, and the impact your models had on decision-making processes. Use quantifiable results to demonstrate your success, and showcase your familiarity with DBT and other tools that enhance data integrity.

Emphasize the importance of implementing robust data quality frameworks and governance policies. Share examples from previous roles where you established protocols for data validation, monitoring, and auditing. Discuss how these practices help maintain data accuracy and reliability, ultimately leading to more informed business decisions.

Be prepared to discuss your proficiency with tools like Looker, Tableau, or Power BI. Explain your rationale for choosing one over the others based on project requirements and audience needs. Highlight your experience in creating interactive dashboards that empower stakeholders to derive insights independently.

Share an anecdote where you effectively simplified a complicated data-related topic for a non-technical audience. Focus on how you tailored your communication style based on their background and the significance of the data insights for their decision-making processes, ensuring engagement and understanding.

Discuss your organizational skills and time management strategies. Showcase how you prioritize tasks by aligning them with business objectives and keeping stakeholders informed. Provide examples of how you successfully navigated challenging situations by breaking down projects into manageable tasks while maintaining quality.

Articulate which metrics you believe are pivotal for measuring business growth, drawing on your experience. Consider metrics related to customer acquisition, retention, and engagement. Explain how these metrics can be derived from data models and influence strategic decisions for Mejuri.

Describe your approach to writing efficient SQL queries, such as avoiding unnecessary complexity, using indexing judiciously, and fine-tuning joins. Discuss your experience with query optimization techniques and tools, and illustrate with examples of how these strategies have resulted in significant performance improvements.

Prepare to share a detailed case study of a project you spearheaded. Explain the project’s goals, your role, the challenges faced, and the outcomes achieved. Provide specific data points to illustrate its impact on the business, whether in terms of revenue growth, operational efficiency, or customer satisfaction.

Mention the resources you utilize to keep abreast of the latest industry trends and best practices, such as webinars, online courses, industry blogs, or professional networking. Highlight how staying informed enables you to propose innovative solutions and improve existing processes within the company.

Reflect on your passion for data and its ability to drive meaningful business decisions. Discuss how the opportunity to empower teams through insightful analytics and foster a collaborative environment motivates you to excel. Mention specific aspects of Mejuri's mission that resonate with you personally and professionally.