Bachelor's degree in Computer Science, Engineering, Operations Research, Math or Finance
2+ years of work experience in BI/Analytics
Strong grasp in mathematics and excellent in logical aptitude
Proficient in SQL and Tableau / Quicksight, Microsoft Excel, R/Python and Power BI
Job summary We are looking for a Business Analyst in our Business Finance team. The Business Intelligence team in GlowRoad (a unit of Amazon) works closely with all departments for fulfilling data analysis and business operation's related data. This is a full stack team that works at all stages in data pipelines, warehousing, reporting, business analysis, machine learning, and business optimization. The team members have immense scope of learning in terms of technology as well as business due to its visibility to cross functional data, full stack BI technologies, and rapidly growing services. GlowRoad is a social commerce company that sells products to customers at wholesale prices and helps them resell on Facebook and WhatsApp. It also provides them with all reselling services like logistics network, ecommerce website, and the ability to collect cash. Key job responsibilities
Develop analytical models to assess the problems, solutions and impact on business
Understand a business problem, the available data and identify what statistical techniques can be applied for the solution
Responsible for giving insights to management for strategic planning
Reporting:
Own the design, development, automation and maintenance of ongoing metrics, reports, analyses, dashboards on the key drivers of our business
Partner with operations/business teams to consult, develop and implement KPIs, automated reporting/process solutions and data infrastructure improvements to meet business
Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
Prepare and deliver business reviews to senior management team regarding progress and roadblocks
Analyze historical and customer segmentation data to identify trends and insights
Data Management:
Managing Data pipelines and warehouses.
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
Engineering in any stream
Certification in Python, ML, Data Engineering
Knowledge of AWS Big Data Technologies
Experience in the eCommerce, marketplace or supply chain areas
Experience with data modeling, data warehousing, and building ETL pipelines
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