As a Senior Data Analyst at Monarch, you'll engage in impactful responsibilities that include building and enhancing our data infrastructure, managing end-to-end analytics projects, and providing insightful recommendations to guide business decisions. You will ensure that stakeholders can access insights through self-service analytics, analyze user behavior for product improvement, and leverage tools like Fivetran, Snowflake, and DBT.

The ideal candidate for the Senior Data Analyst role at Monarch should have at least 5 years of experience in a data analyst or similar role, preferably within a growth-stage company. Proficiency in advanced SQL features, experience with BI tools for dashboard creation, and the ability to communicate complex data insights clearly are also essential qualifications.

Monarch utilizes several tools for data analysis in the Senior Data Analyst position, including Fivetran for data ingestion, Snowflake as the data warehouse, and DBT for data transformation. Additionally, you will work with Amplitude for product analytics and Omni for BI and data visualization to create dashboards that enable self-service analytics.

Yes, the Senior Data Analyst position at Monarch is fully remote! We encourage you to work from wherever you feel most productive, whether it's your home, a co-working space, or a different location that suits you best. We believe remote work enhances creativity and work-life balance.

Monarch offers a range of competitive benefits for the Senior Data Analyst role, including competitive cash and equity compensation, a stipend to help you set up your ideal working environment, unlimited PTO, and a unique policy of a three-day weekend every month. We are dedicated to supporting our employees' well-being and work-life balance.

In answering this question, focus on specific projects where you've created or improved data pipelines and infrastructure. Highlight tools you've used, challenges faced, and the outcomes achieved to demonstrate your hands-on experience in building scalable data systems.

Discuss your approach to understanding the unique needs of various departments and how you tailor your analytics to align with their goals. Mention any frameworks or tools you utilize to prioritize tasks effectively, showcasing your collaborative mindset.

Speak to your process for validating data sources, conducting regular audits, and utilizing quality control measures. Providing examples of how you've maintained data integrity in past projects will illustrate your thoroughness in delivering accurate analyses.

When answering this question, walk through a specific project where you were responsible for the entire data lifecycle, from ingestion through analysis to dashboard creation. Highlight your problem-solving skills, collaboration, and impact on the organization.

In your response, emphasize your ability to translate technical findings into easy-to-understand language. Share strategies you employ, such as using visual aids or storytelling techniques, to ensure your insights resonate with various audiences.

Describe your SQL expertise, including any advanced functions you have used. Additionally, highlight your familiarity with data visualization tools, mentioning specific dashboards or reports you've previously created that had a significant impact.

Tell the interviewer about your commitment to continuous learning, such as following industry blogs, participating in online courses, or attending conferences. Mention specific resources or communities that keep you updated on the latest trends and technologies.

Share your approach to tackling ambiguity, which might include asking clarifying questions, gathering stakeholder input, or starting with exploratory analysis. Highlight a past situation where you successfully navigated uncertain data scenarios.

Discuss the analytics platforms you've utilized, such as Amplitude, and how you've applied analytical methods to derive insights about user behavior. Provide an example of how your findings led to actionable product recommendations.

Explain your design principles for creating dashboards, including simplicity, clarity, and user feedback. Offer insights into how you've gathered user requirements to ensure your dashboards serve their intended purpose effectively.