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Business Analystat TravelTriangle, Gurgaon
Experience:
1-4 yrs
Job Location :
Gurgaon

Job Roles & Responsibilities

  • Roles and Responsibilities - 1. Familiarity with both SQL and Excel is highly sought after. These will have to be on your fingertips for you to effectively carry out this job. 2. The ability to coordinate with multiple business stakeholders is also an important part of the job. You will have to break down their business problems into quantifiable metrics and insights that make sense to them. 3. Ability to query databases and play with it using SQL, R/ Python, BI Tools (Qlik, Tableau etc.) 4. Personalisation, Clustering, K-Means and other user profiling related algortihms 5. Experience with product analytics (GA, Inspectlet, Apsalar etc.) and experiments (vwo)

Required Skills

  • You will take end to end responsibility of a particular segment of the companys business intelligence and analysis requirements. Hence, you will need to understand what needs to be tracked, how to track it, design the right views and then deliver actionable insights. Your responsibilities will hence hinge around: 1. Data Warehousing You will need to develop an understanding of data sources across the company in order to maintain and develop a part of the ETL layer of the organization’s data. This will require continuous coordination with the development team and a fair amount of query scripting 2. Development and Monitoring of Business Reporting Framework You will also need to look at data in various creative ways and understand how to use a limited number of views to give a good aggregate summary of a function or process, and will then implement this through various business intelligence tools. 3. Delivering Actionable Insights through Data and Predictions Once you have set up monitoring, you will move beyond this and go through the data to spot deeper correlations and trends. As different sections of the business look to identify their future direction or want to gauge the impact of various experiments, you will work closely with the respective teams and understand the various null hypotheses in play, and how we can go about validating them.

Good to have

  • Personalisation, Clustering, K-Means and other user profiling related algortihms

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