Business Analyst II

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people.

Sellers in multiple countries ship products for sale on the Amazon Marketplace. To meet our sellers’ needs, we are constantly innovating and building on new ideas.

Fulfillment by Amazon (FBA) Inbound analytics and data science team partners with product team to optimize inbound supply chain by influencing right tradeoffs among cost, speed and network capacity utilization.

FBA Product Analytics team is looking for an individual with excellent analysis and statistical skills, deep knowledge of BI solutions, and the ability to work with product development, and business teams.

The successful candidate will have passion for data and analytics, be a self-starter comfortable with ambiguity, with strong attention to detail.

Key job responsibilities

An ideal candidate for this role :

• Will have relevant experience in data analytics working with large data sets and to extract and transform data using various tools and technologies
• Will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide
• Will use data to support ideas, drive actionable outcomes, and provide unique ways to present data and information in an easy to consume format
• Will be passionate about finding root causes, trends, and patterns and how they impact business.
• Will draw inferences and conclusions, create dashboards and visualizations of processed data
• Will have excellent business and communication skills to be able to work with product owners to understand key business questions to build reports that enable product owners to answer those questions quickly and accurately
• Will be very comfortable juggling competing priorities and handling ambiguity
• Will thrive in an agile and fast-paced environment on highly visible projects and initiatives

A day in the life

As a Business Analyst, you will help develop an analytic solution to drive deep dives, provide insights into the health and state of the Operations and measure business impact.

You will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide.

You will own the design, creation, and management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards to metadata modeling, pipeline monitoring.

You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and perform data solutions, and gain a deep understanding of key datasets.

You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices.

You will be responsible to tune query performance against large and complex data sets. You will help translate analytic insights into concrete, actionable recommendations for business or product improvement.

About the team

Our benefits include :

• Work on high-impact, high-visibility projects that drive the experience for millions of customers.
• The opportunity to use and learn state-of-the-art data management solutions.
• Excellent opportunities, and ample support, for career growth, development, and mentor-ship.
• Competitive compensation, including relocation support.

BASIC QUALIFICATIONS

• Bachelor's degree or equivalent
• 3+ years of business analyst, data analyst or similar role experience
• 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
• 3+ years of business or financial analysis experience
• Experience defining requirements and using data and metrics to draw business insights
• Experience with Excel
• Experience with SQL
• Experience making business recommendations and influencing stakeholders

PREFERRED QUALIFICATIONS

• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience in working with databases, ETL and SQL in a business environment
• Experience communicating analytical outcomes through written communication to both business and technical teams
• Demonstrated use of analytical packages and query languages such as SAS, R, Python and SQL
30+ days ago