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 Engineering, Statistical Analysis. Partner with engineering, product, business and finance teams. Create key performance indicators”

What You'll Achieve.

Drive strategic business decisions; Drive incremental signups or revenue

Industry & Context.

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

Root cause analysis

What They're Looking For.

Must Have

5+ years analyzing data, 5+ years Redshift experience, 5+ years Oracle experience, 5+ years NoSQL experience, Experience data visualization, Experience data modeling, Experience building ETL pipelines, Experience Statistical Analysis packages, Experience using SQL, Scripting experience Python

Nice to Have

Experience AWS solutions, Experience data mining, Experience ETL, Experience using databases large-scale complex datasets

What You'll Do.

Partner with engineering

business and finance teams

Create key performance indicators

Create new methodologies for measurement

Translate data into actionable insights

Create analytical insights

Identify key priorities

Make and justify recommendations

Determine best-in-class performance reports

Automate reporting for regular metrics

Identify areas of opportunity to automate

Scale ad hoc analyses

Build and inform BI tool improvements

Provide requirements for telemetry

Provide requirements for data structure

Drive strategic business decisions

Drive incremental signups or revenue

Define business critical metrics

Develop business critical metrics

Define reports across international business levers

Develop reports across international business levers

Define key performance indicators

Develop key performance indicators

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

Own metrics consumed by VPs and Directors

Provide thought leadership in global business deep dives

How You'll Work.

Team & Collaboration

Engineering teams; Product teams; Business teams; Finance teams; Global leaders; Global teams; International business leaders; BI leaders; Executive management

Communication Scope

Analytical communication

Full Job Description

Amazon’s Consumer Payments 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 analytics and insights that global executive management teams and business leaders will use to define global strategies and deep dive businesses. Our team offers a unique opportunity to build a new set of analytical experiences from the ground up. You will be part the team that is focused on acquiring new merchants from around the world to payments around the world. The position is based in India but will interact with global leaders and teams in Europe, Japan, US, and other regions. 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 ad-hoc

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