Accounting Operations Analyst II

Job title: Accounting Operations Analyst II

Job description: AWS has the most services and more features within those services, than any other cloud provider-from infrastructure technologies like compute, storage, and databases-to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things. AWS Platform is the glue that holds the AWS ecosystem together. Whether its Identity features such as access management and sign on, cryptography, console, builder & developer tools, and even projects like automating all of our contractual billing systems, AWS Platform is always innovating with the customer in mind. The AWS Platform team sustains over 750 million transactions per second.

Do you get excited working on new challenges every day? Do you like to problem solve, drive solutions and influence what features should be launched for customers? AWS Business Operations team is looking for a Accounting Operations Analyst that supports accurate financial processing on Amazon platform technologies. In this position, you will dig deep into the workflows and data stores of each of Amazon’s businesses. This position is expected to have sufficient finance/accounting understanding to help the new business launch team identify issues, opine on reporting requirements, and have a solid understanding of computing system interaction. This role requires excellent communication and organization skills, including the ability to anticipate, identify and communicate risks to accounting, finance, businesses and technical teams. You must be able to work independently, remain flexible with the ability to prioritize workloads, and maintain a strong attention to detail in a fast-paced environment. Similarly, this position is expected to manipulate and mine large data sets to identify, isolate, and communicate findings to stakeholders.

Responsibilities:

• Develop tools, dashboards, queries, reports for BizOps while ensuring data quality and integrity. Ensuring accuracy of data and data analysis is of utmost importance.
• Identify, design and develop data source discovery efforts across databases and identify data/table links/joins between data/table sets. Uphold highest standard for Queries/Code/Scripts.
• Manage stakeholder requirements, feature requests, solution life-cycle management, write 1-pagers/6-pagers/PRFAQ before new solution/automation launches.
• Work on Continuous Improvements to translate business requirement into proof of concept, project resource, and timeline estimate.
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
• Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations.

Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life-both in and outside of work.

We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.

Learn and Be Curious. We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.

Inclusion and Diversity. Our team is diverse! We drive towards an inclusive culture and work environment. We are intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Team members are active in Amazon’s 10+ affinity groups, sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. These range from groups such as the Black Employee Network, Latinos at Amazon, Indigenous at Amazon, Families at Amazon, Amazon Women and Engineering, LGBTQ+, Warriors at Amazon (Military), Amazon People With Disabilities, and more.

Learn more about Amazon on our Day 1 Blog: https://blog.aboutamazon.com

Amazon is committed to a diverse and inclusive workplace. Amazon is an

BASIC QUALIFICATIONS

• B.S. degree in mathematics, statistics, computer science or a similar quantitative field
• 3+ years work experience in accounting/finance domain
• Experience using SQL to analyze data in a database or data warehouse and be able to use a major programming (e.g. Java/C) and/or a scripting language (Perl, Unix shell) to process data for modeling
• Proficient using at least one data visualization product (Tableau, Qlik, Amazon QuickSight, Power BI, etc.)
• Experience working with a wide range of predictive and decision models and data mining techniques, as well as tools for developing such models
• Ability to work cross-functionally, building and maintaining trust with internal stakeholders
• Advanced proficiency in Excel.
• Knowledge of data management fundamentals and data storage principles
• Ability to figure things out without a road map, transform organizations, as well as break the mold in terms of ways to re-frame and solve problems.
• Experience working with disparate data sources and turning them into a unified solution

PREFERRED QUALIFICATIONS

• 5+ years of work experience of analyzing and interpreting data as a business intelligence engineer, data engineer, or at a similar capacity.
• Master’s degree or higher in Engineering, Statistics, Computer Science, Mathematics, or a related quantitative discipline
• Experience with creating and building predictive/optimization tools that benefit the business and improve customer experience

Equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us

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