Senior Data Analyst, Beverage

As a Senior Data Analyst at Fetch, your key responsibilities will revolve around driving analytic support across your designated vertical, utilizing your expertise in SQL and data visualization tools like Tableau. You'll need to communicate insights effectively to both technical and non-technical audiences and mentor junior team members to elevate the overall team performance.

To be considered for the Senior Data Analyst role at Fetch, you should have at least 4 years of professional experience in analytics, particularly with client support and CPG insights. Proficiency in SQL and data visualization tools, as well as strong problem-solving skills, are essential qualifications for this position.

Fetch emphasizes continuous growth and provides an impressive education reimbursement of up to $10,000 per year, ensuring that as a Senior Data Analyst, you can pursue professional development opportunities that align with your career goals and enhance your skill set.

Absolutely! The Senior Data Analyst position at Fetch is fully remote, allowing you the flexibility to work from anywhere in the United States. This setup encourages a healthy work-life balance while still engaging with a dynamic team.

The base salary for the Senior Data Analyst role at Fetch ranges from $110,000 to $145,000, plus you're provided with equity in Fetch, allowing you to share in the company's growth and success.

When discussing your SQL experience, focus on specific projects where you've effectively manipulated large data sets. Highlight your ability to write complex queries that drive insights and how you leverage SQL to tell a story with data, rather than just producing numbers.

For this question, describe the importance of data visualization in presenting your findings clearly and effectively. Mention tools you use, like Tableau, and provide examples where your visual representations have influenced decision-making or led to actionable insights.

It's essential to tailor your communication style to your audience. Share examples of how you break down complex analyses into understandable narratives, using visual aids and clear language to ensure that non-technical stakeholders grasp the implications of your findings.

Highlight a specific example where team collaboration was crucial. Emphasize your role in bridging communication gaps between teams, gathering insights from upstream changes, and how you ensured that all parties understood the potential impacts.

Share experiences where you've successfully guided less experienced team members, outlining your mentoring style and the methods you use to provide constructive feedback. Explain the importance of sharing knowledge to elevate the entire team's performance.

Detail the steps you take to validate data sources and your processes for cross-checking analysis outputs. Mention techniques you've implemented to maintain data integrity throughout your analytical work.

Emphasize your analytical skills in investigating data anomalies. Discuss how you utilize your data manipulation skills to delve into the issues, identify root causes, and implement solutions while ensuring stakeholder communication.

Illustrate a specific project where your analytics directly influenced business decisions or strategies. Use quantitative outcomes to demonstrate the effectiveness of your analysis and the actionable insights provided.

List the tools you are familiar with in addition to SQL and Tableau, such as Python, Snowflake, and AWS. Share how your experience with these tools has allowed you to enhance your analytical capabilities and overall project outcomes.

Discuss your organizational strategies such as creating priorities based on impact and deadlines. Share tools or methods you use to manage your time and ensure you meet stakeholder expectations without sacrificing the quality of your analysis.