Business Intelligence Engineer, Social Media Capacity planning
Company Name:-
Amazon Dev Center India – Hyd
Job Location:-
Hyderabad, Telangana
Job Summary:-
3+ years of relevant experience in business intelligence role, including data warehousing and business intelligence tools, techniques and technology, or experience in analytics, business analysis or comparable consumer analytics solutions.
Bachelors degree in Computer Science, Engineering, Math, Finance, Statistics or related discipline.
Extensive knowledge and Experience in data mining, SQL, ETL, etc.
and using databases in a business environment with large-scale, complex datasets.
Knowledge and direct experience using business intelligence reporting tools.
(Tableau, MicroStrategy etc.
)
Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams.
Amazon is seeking an outstanding Business Intelligence Engineer(BIE) to join Amazon’s Social Media capacity planning team.
This rapidly-growing business within Amazon offers a creative, fast-paced, entrepreneurial work environment
As a BIE, you will be play a key role in Amazon Social Media customer service by partnering with forecasters, supply planners, finance, technology and BI teams to develop world class business intelligence solutions and forecasting systems.
You will be working with small, strategically-focused team that partners with stakeholders WW to drive key business decisions by performing data analysis, designing and monitoring metrics.
Key Responsibilities
Monitor existent metrics, analyzing data and partnering with internal teams to identify process, system improvement opportunities and come up with BI solutions
Take a proactive approach to defining new metrics, reports, and dashboards.
Drive business decisions by analyzing of demand and supply side metrics, designing and developing dashboards and reports
Extensive stakeholder management of data suppliers and data consumers worldwide who operate out of diverse geographies.
Presentation of analysis to the senior leadership
Develop and improve data flow between multiple systems and provide self-service tools to the customers
Perform database management of the team, develop frameworks to process very large datasets
Support reporting modules, design and maintain data architecture for statistical research and deve
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