Manager, BIE

Job Description

Job summaryAmazon 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:You will lead Data engineers and Business Intelligence Engineers and also will - Understand business requirements and map them to technical requirements. Own the design, development, and maintenance of 1-2 data platforms, ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Forecast inflow and plan capacity for worldwide reporting and analytics operations. Capture the right metrics to influence stakeholders and measure success of the projects. Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation. Own alignment and standardization of analytical initiatives across the global business teams. Provide thought leadership in global business deep dives across a variety of key performance indicators. 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, - Bachelors degree in Business, Economics, Statistics, Engineering or a related field. 5+ years of professional experience in data analytics, business analysis, or BI engineering position. Minimum 2years of experience in managing Analytics/Data teams. Knowledge of data management fundamentals and data storage principles. Experience in preparing and executing presentations of technical and business level data to both peers and leadership 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 High attention to detail and proven ability to manage multiple, competing priorities simultaneously 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) - Bachelor s degree or equivalent experience in Business, Economics, Statistics, Engineering or a related field 8+ years of experience as a Business/Financial Analyst, BI Engineer or Systems Analyst preferably in an internet-based company with large, complex data sources. 3+ years of experience in managing Analytics/Data teams. 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 using big data technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.)

Keyskills :
data analyticsbig datadata managementdata qualitykey performance indicatorscustomer focusbusiness analysis