Senior Analytics Engineer

As a Senior Analytics Engineer at Mixbook, you'll be tasked with developing and maintaining executive dashboards, ensuring the accuracy of LookML and dbt data models behind them, and refining our data infrastructure to facilitate deeper analysis. You'll also guide the organization on leveraging data models for self-service analytics, champion data governance, and work towards establishing uniform key metrics.

To qualify for the Senior Analytics Engineer role at Mixbook, candidates should have a Bachelor’s or Master’s degree in a quantitative field, along with over 4 years of experience in Analytics or Data Engineering. Proficiency in SQL and LookML is essential, alongside demonstrated success with dbt and Business Intelligence tools like Looker for creating intuitive data visualizations.

Mixbook is committed to fostering the professional growth of its team members, including those in the Senior Analytics Engineer role. We provide $2,000 annually for external learning and development opportunities, along with a culture that encourages open communication, collaboration, and creative problem-solving.

A Senior Analytics Engineer at Mixbook will work with a variety of cutting-edge tools, including Redshift, dbt, Looker, and GA4, among others. You'll innovate with data modeling and dashboards that drive key business decisions and enhance our overall analytics capabilities.

The work culture at Mixbook emphasizes collaboration, innovation, and a shared passion for making a difference. As a Senior Analytics Engineer, you'll enjoy working in a supportive environment that values personal contributions and enables you to thrive alongside a talented team dedicated to empowering creativity and fostering human connections.

In answering this question, focus on specifics such as the types of databases you've worked with, the complexity of queries you've created, and how these skills will allow you to build and optimize data models effectively at Mixbook.

Discuss your experience with establishing data quality standards and metrics definitions in past positions, and mention how you can apply these best practices to ensure data integrity at Mixbook.

Talk about your approach to collaborating with stakeholders to gather requirements, the design principles you uphold, and your experience in simplifying complex data into actionable insights for end-users at Mixbook.

Share a specific example of how you identified the need for structured analysis, what steps you took to implement a solution, and the positive impact it made on the organization’s decision-making process.

Discuss how you maintain communication and collaboration across teams, share examples of tools you use for effective remote teamwork, and emphasize your adaptability in balancing different working styles.

Explain your process for prioritizing tasks and how you allocate time for technical execution and strategic thinking, ensuring that your contributions align with the overall goals at Mixbook.

Mention specific tools like Looker and dbt, and provide examples of projects where you've utilized these technologies to drive business results, which underlines how they can support success at Mixbook.

Describe the steps you take, from identifying the business requirements and designing the model, to testing, implementation, and training users at Mixbook on leveraging it for their analytics needs.

Articulate your beliefs on how data-driven insights can shape decision-making and foster innovation, emphasizing how analytics can directly contribute to Mixbook’s mission of empowering creativity.

Mention the resources you utilize, such as webinars, industry publications, online courses, and networking with other professionals in the analytics field, showcasing your dedication to continuous learning relevant to your role at Mixbook.