Business Intel Engineer II, Sales and Partner Enablement Analytics - Ads

Amazon; Bengaluru; On-site; INR 10,00,000 - 15,00,000; Full time

Job summary

A leading e-commerce platform located in Bengaluru is seeking a skilled Business Intel Engineer to analyze data for business decisions. The successful candidate will work with cross-functional teams to innovate on data solutions while ensuring data accuracy. The role requires 3+ years of experience in data analysis, proficiency with SQL and data visualization tools, and a passion for driving insights. Competitive compensation and career growth opportunities are offered.

Qualifications

• 3+ years of experience analyzing and interpreting data.
• Experience with data visualization tools.
• Experience in statistical analysis packages.

Responsibilities

• Report key insight trends using statistical rigor.
• Respond urgently to high priority requests.
• Own design, development, and maintenance of metrics.

Skills

Data analysis

Data visualization

SQL

Statistical analysis

Data mining

Tools

Tableau

Redshift

AWS

Job description

Overview

Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a highly respected e-commerce platform. As an extension of this, Amazon encourages sellers/vendors to offer products to Amazon customers through various advertising. The Sales and Partner Enablement (SPE) organization is an enablement function for global advertising sales and account management teams and helps provide scale to add new participants and help them engage effectively with the ad programs. We work on various ad programs like Segmentation, Customer Engagement, Cost to Sell, Competitive Intelligence etc.

The SPE Analytics team is looking for a talented and driven Business Intel Engineers who can extract meaning from large volumes of data to make the right business decisions. You will leverage your passion for BI to seek out and structure data to propel our insights and analytics capabilities forward. You will work closely with senior leaders to understand their information needs and then build scalable solutions to deliver the key insights to make business decisions. Ensure data accuracy by validating data for new and existing tools. Learn and understand a broad range of Amazon\'s data resources and know how, when, and which to use and which not to use.

Responsibilities

1. Reporting of key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy story lines.
2. Respond with urgency to high priority requests from senior business leaders.
3. Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
4. Collaborate with internal partners from tech, science, sales, marketing, finance, and other cross-functional teams to deliver successfully against high organizational standards.

A day in the life

You will work in one of the complex data environments and will innovate on behalf of our advertising customers. You will bring data together to answer business questions and guide our businesses by pushing the boundaries of data analytics and science to solve analytics problems in a fast-moving environment.

About the team

SPE Analytics owns the roadmap for advanced analytics and insights across search and display advertising products and helps drive success for advertisers. Advertiser success is core to Amazon’s growth, as it helps drive awareness, consideration, and purchase of their products by hundreds of millions of consumers around the world, and generates revenue which helps us lower prices and invest in improvements to our customer experience. We are a highly motivated, collaborative and fun-loving team with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.

Qualifications

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. experience.
• Experience with data visualization using Tableau, Quicksight, or similar tools.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience in statistical analysis packages such as R, SAS and Matlab.
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets.

Inclusive culture

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.