Business Intelligence Manager
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 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
Hire, manage, coach and lead a high performing team of Data engineers, Business Intelligence Engineers and Business/data Analysts
Engage with leadership and diversified stakeholder groups to understand their data needs and recommend Reporting/Business intelligence solutions
Partner with the other Data Engineering teams to define the data elements and data structure that the team should leverage to enable analytical capabilities.
Design, implement, and support platforms that provide business teams ad-hoc access to large datasets (e.g. data visualization tools for non-tech business users)
Own the design, development, and maintenance of ongoing performance metrics, reports, analyses, dashboards, etc. to drive key business decisions
Standardize data and report consumption across all customer groups
Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
Proactively develop new metrics and studies to quantify customer behavior and reduce defects
Own and drive couple of strategic/innovation tech goals every year.
Basic Qualifications :
Bachelor's degree in a quantitative field or equivalent experience
8+ years of relevant work experience in business intelligence, data engineering, analytics, , data science or related field
Advanced proficiency in SQL, ETL management, data modeling, and working with 'Big Data'
Experience with data visualization using Tableau, Power BI, or similar tools
Experience designing and analyzing A/B tests
Experience with statistical modeling and analyzing large data sets
Experience in managing and prioritizing a project backlog
Experience in hiring, retaining, coaching, and managing a high-functioning team including both technical and business functions
Strong critical thinking skills and attention to detail
Both technically deep and business savvy enough to interface with all levels and disciplines within the organization
4+ years' work experience in managing a team of Data Engineers/Business Intelligence Engineers/Analysts.
Strong organizational and multitasking skills with ability to balance competing priorities
Preferred Qualifications :
Bachelor's degree or equivalent experience in Business, Economics, Statistics, Engineering or a related field
8+ years of experience as a Data/BI Engineer or Business/Financial Analyst 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