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Senior Business Analyst, Global Data and Analytics - FinOps
Senior Business Analyst, Global Data and Analytics - FinOps-May 2024
Pune
May 17, 2026
ABOUT AMAZON
Our mission is to be the world’s most customer-centric company.
10,000+ employees
Technology
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About Senior Business Analyst, Global Data and Analytics - FinOps

  Description

  As Amazon continues to grow so does the demand for our Finance Operations (FinOps) data and analytics services. We are recruiting a Senior Business Analyst to drive impact within Global Data and Analytics (GDA) and lead complex programs of work, delivering the technical capabilities that enable Amazon to expand both its services and its reach.

  Working with leaders around the world, particularly in APAC, you will deliver a high-quality customer experience through developing and leading strategic, cross-functional data programs. These will be aimed at delivering ongoing operational efficiency and free-cash-flow improvements through automation, upstream defect reduction and end-to-end process improvement. You will work backwards from your customer, and problem solve on their behalf. You will dive deep into their requirements, and deliver these programs through our people, processes and technology.

  We believe passionately in the power of data to make better decisions for our customers every day. Great data, insight and modelling capabilities are key to improving our ability to serve our vendors and continue to lower our cost base to invest in customer experience.

  Key job responsibilities

  1) Solve real life business problems by data analytics using big data

  2) Collaborate with business users on requirements, objectives and measures

  3) Build and manage QuickSight dashboards

  4) Provide input and recommendations on technical issues to data engineering and software engineering teams

  5) Contribute to data design, data modelling and data extracts/transforms

  6) Work in a genuinely global environment, across various functional teams

  This role will work closely with Finance Operations, Business Partnering, Finance Automation, Operations, Technology, Accounts Payable and Accounts Receivable teams.

  We’re not an average retailer and this is definitely not your average Finance position! We’ll give you the opportunity to really make a difference in a high growth environment where your ability to identify and drive change will be key. So, if you thrive in ambiguity, love solving complex problems and want to do that in Earth’s most customer-centric company, come and join us!

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

  Pune, MH, 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

  Experience performing ad hoc analysis using advanced Excel

  Experience building and managing financial models for business forecasting and problem solving

  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

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