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

• Solve real life business problems by data analytics using big data
• Collaborate with business users on requirements, objectives and measures
• Build and manage QuickSight dashboards
• Provide input and recommendations on technical issues to data engineering and software engineering teams
• Contribute to data design, data modelling and data extracts/transforms
• 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