Business Analyst, IN Home Marketing Team @ Amazon

Job Description

JD:
At Amazon.com, we strive to be Earth s most customer-centric company. To support this vision, we need exceptionally talented, bright and driven people.
If you would like to help us build the place to find and buy anything online, this is your chance to work hard, have fun, and make history.
We are looking for a self-starter with strong analytics experience who can work on complex business problems, help provide actionable recommendations in a
structured and accurate manner.
As a Business Analyst, the candidate will play a key role in the development of key business metrics, reports and insights using data visualization, as required.
Business Analyst will be expected to be skilled in understanding customer needs, converting them to analysis requirements, having working knowledge of data availability in various sources,
building stakeholder confidence through effective communication and derive recommendations.
The candidate would also be responsible for the project plan, scaling of data processes and reports, and project timeline and deliverables.
The successful candidate will be a self-starter who is comfortable with ambiguity and large datasets.
They will have strong attention to detail, SQL skills, experience with statistical analysis tools, and the ability to clearly communicate and present data insights.
Key Performance Areas:
1. Solve ambiguous problems with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes.
2. Identify, develop and execute data analysis to uncover areas of business opportunities
3.Learn and understand the broad range of Amazon s data resources and develop knowledge of how, when and which data sources to use.
4. Deep dive into massive data sets to answer key business questions using SQL, MS Excel and data analytics tools.
5. Build new reports/dashboards to enable emerging business use cases
6. Present written recommendations and insights to key stakeholders.
BASIC QUALIFICATIONS
1+ years of experience in financial/business analysis
Experience with SQL or ETL
Experience defining requirements and using data and metrics to draw business insights
Bachelor s degree in a quantitative field such as Mathematics, Statistics, Engineering, Computer Science, Economics, Finance, or related field
2+ years of experience in a business analyst, data analyst or statistical analysis role
Working knowledge of SQL, database, and advanced Excel
Experience in developing requirements and formulating business metrics for reporting. Familiar with Tableau or similar BI tools
Experience collaborating with business and data engineering teams.
PREFERRED QUALIFICATIONS
Bachelor s degree in a quantitative field such as Mathematics, Statistics, Engineering, Computer Science, Economics, Finance, or related field
3+ years of relevant experience in a business analyst, data analyst or statistical analysis role
3+ years of professional experience working with large data sets and writing complex SQL queries
Experience using AWS analytical services (e.g., Redshift, EMR)
Strong verbal and written communication skills and ability to translate ambiguous business requirements into analyses and actionable insights
Experience collaborating with business, technical and engineering teams.
We are open to hiring candidates to work out of one of the following locations:
Bengaluru, KA, IND, - 1+ years of tax, finance or a related analytical field experience
- 2+ years of complex Excel VBA macros writing experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience with SQL or ETL - Experience working with Tableau
- Experience using very large datasets

Employement Category:

Employement Type: Full time
Industry: BPO / Call Center
Role Category: General / Other Software
Functional Area: Not Applicable
Role/Responsibilies: Business Analyst, IN Home Marketing Team

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Keyskills:   customer relations documentation requirements functional business requirements statistical analysis tools use cases sql queries data analysis advanced excel data analytics computer science data engineering business analysis business insights data visualization behavioral training communication skills statistical analysis written communication