Reporting and Automation Lead, Amazon Ads

We are seeking a detail-oriented Reporting & Automation Specialist to oversee data flows, build scalable reporting solutions and ensure timely, accurate reporting to Business, Finance, and Leadership. This role requires creating data and analytics led business solutions using BI tools like Quick-sight and excel.

Key job responsibilities
Build scalable reporting/dashboard solutions to monitor business KPIs for Business, Finance, and Leadership teams, ensuring that all data is accurate, relevant, and aligned with stakeholder needs.
Serve as the primary point of contact for all advertising data and reporting-related requests from stakeholders, ensuring clear and transparent communication of requirement gathering, prioritization and execution.
Building automated workflows: Use SQL , Quicksight and VBA to automate complex data processing workflows
Continuous improvement of reporting processes to enhance the efficiency and accuracy of reporting.

About the team
At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, driven, and diverse leaders. Amazon is one of the most recognizable brand names in the world and we distribute millions of products each year to our loyal customers.

Advertising is one of the fastest growing businesses at Amazon and that growth generates challenges in managing huge volumes of advertising submissions while maintaining a high customer experience and working at the speed that advertisers demand. We believe that advertising, done well, can enhance the value of our customer experience and generate a positive ROI for our advertising partners. We strive to make advertising relevant so that customers welcome it - across Amazon s ecosystem (Amazon DSP & Sponsored Ads) of mobile and desktop websites, proprietary devices, and the Amazon Advertising Platform. If you re interested in supporting the advertising business with a relentless focus on the customer, you ve come to the right place! Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with building and maintain basic data artifacts (e. g. ETL, data models, queries)
Proficiency in advanced Excel functionalities, including VBA, macros, and complex formulas
Track record of generating key business insights and collaborating with stakeholders
Experience with data visualization using Tableau, Quicksight, or similar tools
Capable of managing multiple reporting cycles and deadlines, with a strong focus on time management.
High attention to detail, especially when working with large datasets, to ensure accuracy in reporting.