Data Driven Decision Maker
3 days ago
We are looking for a dynamic and accomplished Data Driven Decision Maker to join our team in Amazon Middle East and North Africa FZ-LLC. As a Data Driven Decision Maker, you will be responsible for generating data and insights that will guide product and program development to drive effective monetization strategies.
Your primary focus will be on supporting the design, development, and maintenance of ongoing performance metrics, reports, and dashboards to drive key business decisions. You will also be responsible for performing deep dive analyses of business problems and formulating conclusions and recommendations to be presented to senior leadership.
To succeed in this role, you must have strong technical skills, deep business insight, and excellent verbal and written communication skills. You will have the opportunity to work closely with business and technology leaders to set up reporting systems and frameworks for the organization.
Key Responsibilities:- Support the design, development, and maintenance of ongoing performance metrics, reports, and dashboards to drive key business decisions.
- Perform deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
- Setup and execute processes for performing exploratory data analysis to unearth insight or patterns that can be used to drive operational efficiency and growth opportunities.
- Enhance intelligence frameworks and analyses using advanced data modeling techniques.
- Establish reporting standards and engage data engineering to deliver automated solutions, where possible.
- Simplify and automate reporting and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders.
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL experience.
- Experience with data visualization using Tableau, Quicksight, or similar tools.
- Experience with data modeling, warehousing, and building ETL pipelines.
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business.
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