Financial Analyst I (Business Analyst)
Amazon is hiring a Financial Analyst I (Business Analyst) in Hyderabad, India. Level rates it ; you can apply on Amazon.
Level's read on this job
- Little AI ●○○○ is how Level rates this business analyst role: aI is not part of the work.
- Tools and skills the posting cites include AWS, S3 and Lambda.
- Level classifies it as a mid-level role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Develop data-driven financial strategies, revenue assurance controls, and automated reporting solutions using AWS.
Amazon FinOps is looking for a Business Analyst to be part of the GAR Assurance Team. As Finance Business Analyst at Amazon, you will have the opportunity to work on some of the largest data sets and help build data-driven operational strategies to adapt and be successful in ever-changing business environments.
Key job responsibilities
• Develop strategies to improve accuracy and timeliness of revenue management to ensure billing assurance
• Developing internal finance controls based on industry best practices
• Support revenue recognition policies and revenue generation standards
• Lead projects to address key cross-functional issues spanning financial operations and vendor management
• Deliver financial savings through process improvement and automation initiatives
• Design and implement mechanisms to improve Operational Excellence culture
• Translate business problems into efficient, scalable solutions using AWS services and data tools
• Identify improvement opportunities through cross-team collaboration and brainstorming
Basic qualifications
- Bachelor's degree or above in computer science, engineering, mathematics or equivalent, or Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field
- • Overall 6+ years' experience with 4+ years of relevant experience in a business analyst/data analyst role
- • Proficiency in AWS services such as S3, Lambda, SES, Step Functions, DynamoDB, and Redshift
- • Proficiency in Amazon Quick Suite and Athena for data analysis and reporting
- • Strong SQL skills for data querying and analysis
- • Proficient with Advanced Excel
- • Experience handling large datasets, summarizing data into metrics, and generating actionable insights
- • Strong analytical, problem-solving, and critical thinking skills with attention to detail
Preferred qualifications
- 2+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
- 4+ years of as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation experience
- • Master's degree in Finance, Statistics, Business Analytics or related discipline
- • Knowledge of programming languages such as Python or R
- • Basic understanding of how IAM works
- • Basic understanding of AI models and their capabilities
- • Ability to translate business problems into efficient technical solutions
- • Able to work with financial analyses, assess and mitigate risk, and forecast both long and short-term outcomes in a complex business environment
- • Great organizational skills with exceptional follow through and attention to detail
- • Ability to present and clearly communicate complex data, analyses, and findings to non-technical stakeholders
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
How we rate this
Financial Analyst I (Business Analyst) at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in business analyst jobs at this level
Pay
- Typical business analyst job
- $95k
This posting doesn't list pay. Use the typical business analyst figure when pay comes up. See business analyst jobs
Questions you could be asked
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where financial operations was part of your work. What did you do?
- Tell me about a project where process automation was part of your work. What did you do?
- Tell me about a project where sql was part of your work. What did you do?
- Walk me through how you've used AWS in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Analysis, Financial Operations, Process Automation, SQL, and AWS. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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