Amazon

Business Intelligence, Business Intel Engineer, consumerpayments

BusinessIntelligenceEngineer

₹15–22L ~AI est. Bengaluru, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Business Intelligence Engineer at Amazon. Skills: Business Intelligence, Data Engineering, Analytics. Partner with engineering, product, business and finance teams. Create key performance indicators”

Industry & Context.

Business Intelligence, Business Intel Engineer, consumerpayments
Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

2+ years of analyzing and interpreting data, Experience with Redshift, Experience with Oracle, Experience with NoSQL, Experience with data visualization, Experience with Tableau, Experience with Quicksight, Experience with industry analytics visualization tools, Experience with Excel, Experience with MicroStrategy, Experience with PowerBI, Experience with statistical methods, Experience with t-test, Experience with Chi-squared, Experience with scripting language, Experience with Python, Experience with Java, Experience with R, Bachelor's degree

Nice to Have

Master's degree preferred, Advanced technical degree, Knowledge of data modeling, Knowledge of data pipeline design, Experience with statistical analysis, Experience with co-relation analysis

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

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 BI tool improvements

Inform BI tool improvements

Provide requirements for telemetry

Provide requirements for data structure

Drive strategic business decisions

Drive incremental signups

Drive incremental revenue

Define business critical metrics

Develop business critical metrics

Define business critical reports

Develop business critical reports

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 key executive metrics

Provide thought leadership in global business deep dives

How You'll Work.

Team & Collaboration

Partnering with engineering; Partnering with product; Partnering with business; Partnering with finance teams; Global leaders and teams; Global business teams; International business leaders; BI leaders; Executive management

Communication Scope

Analytical communication

Full Job Description

Amazon’s Amazon 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 a

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