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Business Analyst I, Buyer Abuse Prevention
4 weeks ago
As a Business Analyst, you will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of business intelligence, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. The candidate should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, the candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business.
Responsibilities:
- Use analytics and data mining techniques to solve complex problems and drive business decisions.
- Employ the appropriate tools, methodologies to discover patterns of risks, abuse and help reduce bad debt
- Design experiments, test hypotheses, and build actionable models to optimize BRP in a specific country
- Solve analytical problems, and effectively communicate methodologies and results
- Build analyses for product launches
- Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies
- Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area
We are open to hiring candidates to work out of one of the following locations:
Bangalore, KA, IND
BASIC QUALIFICATIONS
- 1+ years of tax, finance or a related analytical field experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience with SQL or ETL
PREFERRED QUALIFICATIONS
- Experience working with Tableau
- Experience using very large datasets
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