Flipkart Hiring Business Analyst is a good opportunity who want to work with Flipkart. Flipkart is India’s largest e-commerce marketplace with a registered customer base of over 150 million. In the 10 years since we started, Flipkart has come to offer over 100 million products across 120+ categories including Smartphones, Books, Media, Consumer Electronics, Furniture, Fashion, and Lifestyle.
Job Description:
- You will work closely with internal Flipkart Teams to identify, define, collect, and track key business metrics for products or business processes.
- You will pull data required to conduct business analysis, build reports, dashboards, and metrics to monitor the performance.
- You will execute quantitative analysis that translates data into actionable insights
- You will work with and influence stakeholders to make data-driven decisions.
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Flipkart Hiring Business Analyst 2022:
Company Name | Flipkart |
Post Name | Business Analyst |
Salary | 12 – 18 LPA |
Experience |
0-1 year |
Job Location |
Bengaluru |
Batch | 2018/19/20/21 |
Eligibility Criteria:
- Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute.
- 1+ Years of experience in a relevant role
Preferred skill:
- Educational/ Work ex:
- Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute.
- 1+ Years of experience in a relevant role
- Required abilities/competencies:
- Ability to translate structured and unstructured problems into an analytical framework
- Ability to experiment with alternate analytical techniques to solve a problem
- Exceptional written and verbal communication skills
- Ability to independently plan and execute deliverables
- Ability to multitask and work on a diverse range of requirements
- Technical capabilities:
- Good handle in SQL, Excel, other scripting languages (R, Python, etc.)
- Basic understanding of statistical modeling and 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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