Business Analyst II, Investigation Tech Products

As a Business Analyst II at Amazon.com Services LLC, you'll be responsible for supporting the analytics and reporting requirements of the investigation products onboarding process. This includes transforming large data sets into actionable business insights, collaborating with product owners to define requirements, creating dashboards, and presenting findings in an easily consumable format. Your role is essential in ensuring data accuracy and identifying key insights that help improve the customer shopping experience.

To qualify for the Business Analyst II position at Amazon.com Services LLC, candidates should have at least 3 years of experience in data analytics or a related analytical field. A strong grasp of Excel, including VBA and pivot tables, is necessary, as well as proficiency in data visualization tools like Tableau. A Bachelor's degree in a quantitative field is typically required, along with experience in business analysis and utilizing data to draw insights and make recommendations.

In the role of Business Analyst II, you will directly contribute to Amazon.com's Trustworthy Shopping Experience (TSE) team by ensuring that customers can shop confidently. Your analytical skills will aid in eliminating catalog defects, ensuring compliance with selling policies, and resolving issues that impact customer satisfaction. By translating data into actionable insights, you play a crucial role in safeguarding the shopping experience for Amazon's customers.

A Business Analyst II at Amazon is expected to be proficient in advanced Excel functionalities, including VBA, pivot tables, and power pivots. Familiarity with data visualization tools such as Tableau, Quicksight, or similar platforms is also crucial. Additionally, knowledge of SQL for defining requirements and using data for business insights is preferred to be effective in this role.

To excel as a Business Analyst II at Amazon.com Services LLC, strong analytical skills and a passion for data are fundamental. Excellent communication abilities are also key, as you'll need to work closely with various stakeholders to ensure clarity on business questions and reporting needs. Adaptability to manage competing priorities in a fast-paced environment and the capability to uncover insights from data will greatly contribute to your success in this role.

In your response, focus on specific data analytics projects you've worked on, emphasizing your ability to extract meaningful insights from large datasets. Highlight your familiarity with tools like Excel and Tableau, and discuss how your previous roles prepared you for data-driven decision-making in a fast-paced environment.

Discuss a structured approach where you identify patterns within the data, utilize visualization tools to interpret data meaningfully, and present these insights to stakeholders. It's essential to convey how your analysis influenced business decisions positively.

Share techniques you employ to prioritize tasks effectively, such as creating lists or using digital tools for time management. Illustrate with an example of how you've successfully handled multiple projects while delivering quality results.

You can explain the importance of validating data sources and implementing checks during the data collection process. Mention your experience with data cleaning techniques and how informative reports help identify discrepancies.

Narrate a specific situation where your analysis led to actionable recommendations. Outline the data you used, the decision-making process, and the result of your recommendation to demonstrate your impact.

Highlight your proficiency with tools like Tableau or PowerBI, discussing a specific dashboard you've created. Talk about the key metrics displayed and how they provided value to the stakeholders.

Be honest about your proficiency with SQL. Illustrate with examples of queries you've written to extract or manipulate data and how that facilitated your analyses or reporting needs.

Share insights on emerging technologies, such as machine learning or AI, and how they can reshape data analytics. Connect these trends back to how they could align with the goals of a company like Amazon.

Discuss your problem-solving techniques, emphasizing the importance of seeking clarification from stakeholders, iterating on solutions, and maintaining flexibility while navigating unknown variables.

Express your enthusiasm for Amazon's mission of customer satisfaction and innovation. Discuss how you believe your skills and experiences align with the role, and your eagerness to contribute to a team that enhances the shopping experience for millions.