Senior Business Intelligence Analyst

As a Senior Business Intelligence Analyst at Faire, you will be responsible for managing complex ETL flows, ensuring accurate financial reporting, and collaborating with various teams, including Accounting and Finance. Your role involves gathering requirements, enabling data-driven decision-making, and leading initiatives that enhance data strategy and automation within the organization. You will be a critical partner in improving access to business-critical data.

To be a successful Senior Business Intelligence Analyst at Faire, you should have at least 5 years of experience in Business Intelligence or a related field, with expertise in SQL for data modeling and large-scale processing. Familiarity with data warehousing concepts and tools such as Airflow or dbt is essential. While not required, experience with programming languages like Python or R can be beneficial.

At Faire, we value curiosity and continuous learning. As a Senior Business Intelligence Analyst, you will have opportunities to lead data strategy initiatives, collaborate with cross-functional teams, and contribute to impactful projects. You'll also be part of a culture that encourages innovation, allowing you to expand your skills and expertise in a supportive environment.

At Faire, the salary range for a Senior Business Intelligence Analyst is between $170,000 and $234,000 per year, depending on experience and market demand. In addition to base salary, this role also includes eligibility for equity and benefits, which enhances overall compensation. Your specific pay will be determined based on various factors.

The team culture at Faire is built on collaboration, innovation, and support. As a Senior Business Intelligence Analyst, you'll be surrounded by curious and resourceful individuals who are passionate about driving positive change for independent retailers. We encourage team members to share their insights and lead initiatives that impact not just our company, but local communities worldwide.

When answering this question, focus on your specific experiences designing and managing ETL workflows. Highlight any tools or technologies you have used, such as Airflow or dbt, and discuss how your ETL strategies have contributed to accurate data reporting and analysis in previous roles.

Discuss the processes you implement to validate data sources and ensure that data integrity is maintained throughout your analyses. Mention any specific techniques or tools you've utilized to track changes in datasets and methods for reconciling discrepancies.

In your response, mention specific tools such as Tableau, Looker, or Mode that you are familiar with. Describe how you've used these tools to present data insights effectively and how they influenced decision-making within the organizations you've worked for.

Consider sharing a specific project where you engaged with stakeholders to gather and clarify their analytical needs. Explain your approach in understanding their requirements and how you translated that into actionable data insights or solutions.

Share your time management skills and how you prioritize tasks based on urgency and impact. Discuss any frameworks or tools you employ to organize your workload and ensure that project milestones are achieved in a timely manner.

Talk about your approach to collaboration, emphasizing regular communication, understanding different team needs, and being proactive in providing support. Highlight specific examples of successful partnerships and how they led to impactful data outcomes.

In your answer, mention trends such as the increasing role of Generative AI in automating analytics processes, the rise of self-service BI tools, and how these innovations can empower teams to make faster, more data-driven decisions.

Provide a detailed account of a specific complex analytical challenge. Discuss your problem-solving methodology, the tools you used, and the eventual impact of your solution on the business or project outcomes.

Focus on your proficiency with SQL, providing examples of how you've used it to retrieve, manipulate, and analyze data. Discuss any unique queries or optimizations you've implemented to enhance performance in your previous projects.

Mention your commitment to continuous learning by talking about the resources you use to stay informed. This could include professional development courses, webinars, or industry publications, as well as communities you've engaged with to share knowledge.