Amazon

Analytics & Insights Manager, Amazon Ads

Posted On

Jan. 5, 2026

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Marketing & PR

Apply By

Jan. 27, 2026

Job Description

Amazon Advertising is seeking an experienced Analytics & Insights Manager to join our growing Sales organization. This role is critical to scaling our advertising business by leveraging data and insights to enhance marketing strategies for major clients and drive advertiser success.
As an Analytics & Insights Manager, you will serve as a strategic advisor to Sales teams (Account Executives and Account Managers) and advertisers, delivering value through insights development, measurement excellence, and innovation leadership. You will work backwards from advertiser needs to develop actionable insights that help optimize ad spend effectively with Amazon Ads.

Key job responsibilities
Strategic Insights, Analysis & Innovation
• Develop and deliver bespoke analytical modules and insights that influence advertiser spending decisions and drive incremental revenue growth
• Conduct deep-dive analyses to understand customer behavior, campaign effectiveness, and optimization opportunities, translating complex data into clear, actionable recommendations
• Design and implement self-service analytics solutions and automated, scalable tools that enable Sales teams to execute insights independently
• Build measurement frameworks and KPIs to track campaign effectiveness, ROI, and influence advertiser budget allocation strategies
• Drive continuous improvement initiatives to standardize best practices and enhance the speed and quality of insights delivery across the organization

Stakeholder Management & Collaboration
• Work cross-functionally with Sales, Product, Marketing, and Data Science teams to solve complex business problems and present findings to senior leadership and external clients
• Act as a trusted advisor to Account Executives and Account Managers on analytics strategy, supporting advertiser business reviews with comprehensive performance analysis
• Manage multiple projects simultaneously while maintaining high standards of quality and accuracy
• Mentor and develop junior team members on analytical methodologies and best practices
• Foster a culture of data-driven decision making and share knowledge across teams to multiply impact beyond individual portfolios

About the team
The Amazon India Ads business functions as a strategic start-up with support and interest from business units across the company as well as Amazon’s top management. We are investing heavily in building a world class advertising business and are responsible for defining and delivering a collection of advertising products that drive awareness, engagement, discovery and sales. The work we do is strategically important to our Retail and Marketplace businesses for driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create new, cutting edge ad products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with an endless range of new opportunities. This role offers an opportunity to make a significant impact on the future vision for Amazon Ads in India- Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree
- Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets
- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages
- Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
- Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software
- Knowledge of methods for statistical inference (e.g. regression, experimental design, significance testing)

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