About the team:
Flipkart is India’s largest eCommerce company and is defining eCommerce in the country. Flipkart’s vision is to make Analytics and Big Data part of its overarching competitive strategy, and push it up to decision makers at every level. You will partner with business heads for Retail/Marketplace/Supply Chain/Marketing/Product to create enormous impact through the use of the latest analytical tools and techniques. At Flipkart, high focus on impact and ownership allows for freedom for each to experiment and innovate. The ability to see what your contribution does to the business is a rare experience, add to that the fact that the impact of it is felt by your friends and family in India – the experience is extremely gratifying.
About the role:
Senior Business Analyst is an Individual Contributor role where you would be involved in identifying complex fuzzy problems, breaking them down into smaller parts and implementing creative, data-driven solutions. You would be responsible for defining, tracking and improving key metrics and communicating business trends to stakeholders.
What you’ll do:
● You You will model data in order to create reporting infrastructure/dashboards for business process management and data mining
● You will be closely working with the business/product teams to enable data driven decision making.
● You will execute quantitative analysis that translates data into actionable insights
● You will drive data driven decision making through the stakeholders
● You will influence new opportunities for business based on internal/ external data
● You will drive the team to adopt new and innovative ways of solving business problems
What you’ll need:
● Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute
● 3+ Years of experience in relevant role
● Ability to breakdown any problem into components that can be collaboratively solved
● Ability to negotiate on the scope of the problem through business understanding
● Penchant for business and persistence to work with data to derive insights
● Experience in analyzing very large, complex, multi-dimensional data sets
● Ability to find innovative solutions to mitigate dependencies and risks for deliverables
● Ability to independently plan and execute deliveries
● Exceptional written and verbal communication skills
● Ability to multitask and work on a diverse range of requirements
Technical capabilities:
● Expertise in SQL, Excel, other scripting languages (R, Python, etc.)
● Good background in statistical modelling and experience with statistical tools such as R, Python, Spark, SAS or SPSS.
Good to have : working experience with BI tools (Power BI, Tableau, Qlikview, Datastudio, etc)
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