Description

Amazon is a US-based multinational electronic commerce company headquartered in Seattle, Washington. Amazon.com started as an online bookstore, but soon diversified into many other categories, with a vision to be earth's most customer-centric company & to build a place where people can come to find and discover anything they might want to buy online.

Amazon's Finance Operations, Accounting & Analysis (FOAA) team is a fast-paced, team-focused, dynamic environment and delivering great experiences for our customers is top priority. FOAA is seeking a Financial Analyst III to support project requirements and implementation for Accounting operations in FOAA PMO.

FOAA PMO drives scale and productivity for FOAA by optimizing and automating processes. The key inputs driven by PMO team are i) Driving large scale automation programs by partnering with Amazon Tech teams, Accounting, Finance Operations (FinOps) and FOAA users, ii) Accelerating business process re-engineering and lean six sigma culture in FOAA to transform FOAA processes by driving efficiencies and controllership and iii) Streamlining FOAA engagement with external teams to ensure project and change management initiatives are optimized for FOAA.

In this role, you will develop and drive transformational financial initiatives along with a cross-functional team of senior financial analysts, business intelligence engineers, and process/project managers. You will have opportunities to solve significant business problems through process re-engineering and innovative technology. You will also work on strategic projects to define and create brand new processes that have not done before. You will work with exceptionally talented, bright, and driven people who believe partnership is critical to customer success. This is a chance to work hard driving financial transformation activities across FOAA’s three shared service centers in Costa Rica, China and India.

The successful candidate must be able to think strategically, perform dive deep analytics on existing processes, identify re-engineering activities, and drive enterprise level new technology delivery. The successful candidate will have shown experience in past roles influencing business owners and supporting decision making in rapidly evolving environments. The role requires a self-starter with the ability to be both strategic and analytical in their support of new initiatives. The candidate must have the aptitude to incorporate new approaches and methodologies that are grounded in data-based recommendations. This role also has regular interaction with senior leaders and therefore requires good interpersonal and communication skills.

We are open to hiring candidates to work out of one of the following locations:

Bangalore, KA, IND

Basic Qualifications

• 5+ years of tax, finance or a related analytical field experience

• 5+ years of multiple finance and accounting roles experience

• 6+ years of Accounts Receivable or Account Payable experience

• 6+ years of applying key financial performance indicators (KPIs) to analyses experience

• 6+ years of building financial and operational reports/data sets that inform business decision-making experience

• 6+ years of creating process improvements with automation and analysis experience

• 6+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience

• Bachelor's degree in engineering, statistics or business, or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience

Preferred Qualifications

• 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience

• 6+ years of solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits) experience

• MBA, or CPA

• Knowledge of SQL/ETL

• Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)

• Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results