Business Analyst Support, OHL - VAS, Speed

- 1+ years of data analytics or automation experience - 1+ years of capacity planning, operations planning, business analysis or similar experience - Bachelor's degree - Knowledge of data pipelining and extraction using SQL - Knowledge of SQL and Excel at a moderate or advanced level - Experience with data mining tools like SQL, SAS, SPSS, or similar
In Amazon Category Management, we are looking for a Business Analyst to proactively work on marketing and category metrics such as customer behavior/life cycle and pain points, responsible for identifying growing business sellers and brands with significant business impact, facilitate analysis to identify opportunities, analyze, visualize and deliver insights to help serve our customers better. In this role you will partner with Marketing Managers, Category Managers and Business Leaders to deliver data-driven recommendations and insights, identify areas of improvement and influence teams direction. Candidate should publish weekly/monthly metrics reports in order for business teams to take proactive actions to improve customer experience and keep track of all metrics. Own the design, development, maintenance of ongoing and ad-hoc metrics, reports and analyses to drive key business decisions. Affinity for problem solving, proficiency with SQL and Excel is required. Data visualization tools like Tableau/Power BI/Quicksight is an added advantage. As a Business Analyst, your responsibilities will include: · Generating actionable Insights through Analysis of Key metrics across functions · Identify the root cause through deep analysis of data to reach a point where actionable solutions can be designed. · Devise mechanisms for control, performance monitoring, and reporting to internal stakeholders. · Publish weekly/monthly metrics reports in order for business teams to take proactive actions to improve customer experience and keep track of all metrics. · Proven problem solving skills, project management skills, attention to detail, and is organized · Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format