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 is a brand-new Analytics team, offering 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.
Responsibilities include but not limited to :
Define and develop business critical metrics and reports across all international business levers, key performance indicators, and financials.
Own alignment and standardization of analytical initiatives across the global business teams
Drive efforts across international business leaders, BI leaders and executive management across Europe, Asia and North America.
Own key executive reports and metrics that are consumed by our VPs and Directors
Provide thought leadership in global business deep dives across a variety of key performance indicators
Key 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 analyses, build and inform BI tool improvements
Providing requirements for telemetry and data structure to improve ability to extract data efficiently and provide the team insights faster
Bachelor's degree in Business, Economics, Statistics, Engineering or a related field
5+ years of professional experience in data analytics, business analysis, or BI engineering position
Experience handling confidential data with discretion
Working knowledge of data retrieving and processing using SQL, ETL, data warehouse as well as Excel
Experience with use of data visualization platforms (e.g. Tableau, Quicksight, QlickView)
Experience in preparing and executing presentations of technical and business level data to both peers and leadership
Experience using data to build business cases, back up assumptions, develop hypotheses, and complete root cause analysis
Experience with analytical techniques, such as regression analysis, predictive modeling, segmentation, forecasting, hypothesis testing, multi-variant testing
Experience working with business, product, marketing to determine stakeholder needs and with engineering teams to technically execute
Knowledge of data mining and working knowledge of at least one statistical software (SAS, R, Python, etc.)
Excellent communications skills (written and oral) to drive recommendations, articulate trade-offs, and communicate plans to senior executives
5+ years of experience as a Business / Financial Analyst, BI Engineer or Systems Analyst preferably in an internet-based company with large, complex data sources.
Track record of strong interpersonal and communication (verbal and written) skills. Must be able to explain technical concepts and analysis implications clearly to a wide audience, including senior executives, and be able to translate business objectives into actionable analyses and contribute to documents
Experience developing insights across various areas of customer-related data : financial, product, and marketing
Proven problem solving skills, attention to detail, and exceptional organizational skills
Ability to deal with ambiguity and competing objectives in a fast paced environment
Familiarity with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Knowledge of scripting for automation (e.g. Python, Perl, Ruby)