Amazon

Business Intelligence, Business Intel Engineer, international stores

BusinessIntelligenceEngineer

₹35–55L ~AI est. Bengaluru, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Business Intelligence Engineer at Amazon. Skills: Business intelligence, Data analysis, Data modeling. Develop analytical solutions. Create key performance indicators”

What You'll Achieve.

Define strategies; Deliver results

Industry & Context.

Business Intelligence, Business Intel Engineer, international stores
Problems you'll solve

Quantitative; Analytical; Resourceful; Deep dive

What They're Looking For.

Must Have

5+ years analyzing data, Experience with Redshift, Experience with Oracle, Experience with NoSQL, Experience with Tableau, Experience with Quicksight, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience with R, Experience with SAS, Experience with Matlab, Experience using SQL, Scripting experience with Python, Experience developing recommendations, Experience presenting recommendations

Nice to Have

Experience with EC2, Experience with DynamoDB, Experience with S3, Experience with Redshift, Experience in data mining, Experience with ETL, Experience using databases

What You'll Do.

Develop analytical solutions

Create key performance indicators

Develop new methodologies for measurement

Translate data into actionable insights

Create analytical insights

Identify key priorities

Justify recommendations

Determine best-in-class performance reports

Identify areas of opportunity to automate

Scale ad hoc analyses

Build BI tool improvements

Inform BI tool improvements

Provide requirements for telemetry

Provide requirements for data structure

Improve ability to extract data

Provide team insights faster

Drive strategic business decisions

Drive incremental signups

Define business critical metrics

Develop business critical metrics

Own alignment of analytical initiatives

Own standardization of analytical initiatives

Drive efforts across international business leaders

Drive efforts across BI leaders

Drive efforts across executive management

Own key executive reports

Provide thought leadership

Provide global business deep dives

How You'll Work.

Team & Collaboration

Partnering with engineering teams; Partnering with product teams; Partnering with business teams; Partnering with finance teams; Interact with global leaders; Interact with global teams; Work with stakeholders; Global business teams; BI leaders; Executive management

Communication Scope

Analytical communication; Presenting recommendations

Full Job Description

Amazon Business Payments and Lending organization is seeking a highly quantitative, experienced Business Intelligence Engineer to drive the development of analytics and insights. You will succeed in this role if you are an organized self-starter who can learn new technologies quickly and excel in a fast-paced environment. In this position, you will be a key contributor and sparring partner, developing analytical solutions that global executive management teams and business leaders will use to deep dive into the businesses and define strategies. Our team offers a unique opportunity to build a new set of analytical experiences from the ground up. You will be part of the team that is focused on acquiring new merchants from around the world to payments around the world. The position is based out of India but will interact with global leaders and teams across Europe, Japan, and US. You should be highly analytical, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines. You will be comfortable thinking big and diving deep. A proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced, dynamic business environment is strongly preferred. Key job responsibilities - Partnering with engineering, product, business and finance teams to create key performance indicators and new methodologies for measurement - Fluency in analytical communication to translate data into actionable insights for stakeholders both in and out of the team, create analytical insights to identify key priorities - Proactively make and justify recommendations based on advanced statistical techniques, deep familiarity with the customer or developer experiences, as well as by cross-referencing multiple data sources and comparing against the wider industry - Determine best-in-class performance reports and automate reporting for regular metrics, identify areas of opportunity to automate, scale

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