Manager - FP&A (Finance Analytics, Automation & Planning)

1 Month ago • All levels • Data Analyst • Finance

About the job

Job Description

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Designation: Manager (Finance Analytics, Automation & Planning), FP&A at Myntra

About Team

You will be part of the “Finance Analytics” team at Myntra. 

Finance Analytics is the part of the “Financial Planning and Analysis”  (FP&A) team that works closely with CFO, FP&A head and all the other functions to enable and improve data driven decision making. The team uses structured problem solving approaches along with a wide range of statistical / machine learning  / operations research techniques to create productized solutions for business teams to consume. 

In addition to solving complex business problems through data, FP&A analysts also ensure that the right KPIs and visualizations are  available for our stakeholders to track company and project performance. In essence, the Finance Analytics team is central to most decision making in the Finance organization and works on analytics problems across the DIPP spectrum using tools such as Python, R and SQL. The Finance Analytics team collaborates across the company to work on profitability initiatives, ROI investment framework, P&L and customer deep dive, Inventory health, Working capital, etc

Roles & Responsibilities:

  • Enabling Month end closure & PL Reporting
  • Understand and analyze the data to drive business insights.
  • Create data visualization for easy consumption of data by management 
  • Work on business problems using data analytics and suggest implementable solutions
  • Use machine learning and statistical techniques to do predictive analytics.
  • Work with management team to create a prioritized list of needs for each business segment
  • Identify and recommend new ways to save time by streamlining business processes.
  • Work with departmental managers to outline the specific data needs for each business method analysis project
  • Monitoring and providing feedback loop during execution of various initiatives

Qualifications & Experience:

  • Strong problem solving ability – The candidate needs to exhibit structured thinking, strong analytical skills and process orientation
  • Proficient in Data analytics – The candidate should be proficient in Tableau,SQL, R and Python. Should be highly proficient in Excel; Knowledge of machine learning algorithms is preferred.
  • Highly Action Oriented – Myntra as a culture has a strong bias for action and speed of implementation.
  • A data analyst will need to own projects from conceptualization to execution
  • Orientation / past background in Data Engineering is preferred, not mandatory.
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About The Company

Myntra is India’s leading e-commerce company committed to making fashion and lifestyle products accessible to everyone. We create solutions that disrupt the ordinary and help make the world a happier, more fashionable place.


We are a company that is constantly evolving into newer and better forms and we look for people who are ready to evolve with us. From our beginnings as a customization company in 2007 to being technology and fashion pioneers today, Myntra is going places and we want you to take this journey with us.


Our Culture

As self-driven, motivated individuals who believe in taking ownership instead of being handed responsibility, we are a curiously non-hierarchical team who believe in working as a whole to take the Organization forward.


Firm believers of meritocracy, we encourage you to take on tasks and readily empower you with the right tools, space, and opportunities. In essence, work at Myntra is challenging but fun - we believe in equal opportunity, encourage intellectual curiosity and empower you to be the change.


If you’re just as passionate about fashion and would love a workplace that is purely result-driven, Myntra is the place for you!


Check out open jobs on https://boards.greenhouse.io/myntra

Bengaluru, Karnataka, India (On-Site)

Bengaluru, Karnataka, India (On-Site)

Bengaluru, Karnataka, India (On-Site)

Bengaluru, Karnataka, India (On-Site)

Bengaluru, Karnataka, India (On-Site)

Bengaluru, Karnataka, India (On-Site)

Bengaluru, Karnataka, India (On-Site)

Bengaluru, Karnataka, India (On-Site)

Bengaluru, Karnataka, India (On-Site)

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