4 Quick Sight Jobs

As a Business Analyst in Payment Risk Analytics, you will be responsible for analyzing terabytes of data to identify specific instances of risk, broader risk trends and points of customer friction, developing scalable solutions for prevention. You will work with team members to ensure that the volume being flagged for manual review aligns with available capacity and Service Level Agreements (SLAs) are met. You will be responsible for building a robust set of operational and business metrics and will utilize metrics to determine improvement opportunities. Responsibilities : • Understand the various operations across Payment Risk • Design and develop highly available dashboards and metrics using SQL and Excel/Tableau • Understand the requirements of stakeholders and map them with the data sources/data warehouse • Own the delivery and backup of periodic metrics, dashboards to the leadership team • Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies • Execute high priority (i.e. cross functional, high impact) projects to improve operations performance with the help of Operations Analytics managers • Perform business analysis and data queries using appropriate tools • Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area • Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.) Key job responsibilities • Understand the various operations across Payment Risk Design and develop highly available dashboards and metrics using SQL and Excel/Tableau Understand the requirements of stakeholders and map them with the data sources/data warehouse Own the delivery and backup of periodic metrics, dashboards to the leadership team Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies Execute high priority (i.e. cross functional, high impact) projects to improve operations performance with the help of Operations Analytics managers Perform business analysis and data queries using appropriate tools Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.) BASIC QUALIFICATIONS - 1+ years of tax, finance or a related analytical field experience - 2+ years of complex Excel VBA macros writing experience - Bachelor's degree or equivalent - Experience defining requirements and using data and metrics to draw business insights - Experience with SQL or ETL - Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages PREFERRED QUALIFICATIONS - Experience using very large datasets

GCOI (Grocery Catalog Ops and Intel) is looking for an candidate with excellent technical and analytical abilities. If you are a self-starter, someone who thrives in a fast-paced and ever-changing environment, with a passion for building scalable long-term solutions, then you are the right candidate for our team. In this role, the candidate would work closely with operations, product/program, and tech teams across the US Grocery business to build a variety of bespoke data solutions that directly impact the business' top and bottom lines. The position is based in Hyderabad, but will interact daily with leaders in the US and Hyderabad. We seek a quick-learner who can quickly familiarize themselves with a fast-paced environment, build relationships with cross-functional teams, and assume ownership for a broad array of domains. Flexibility, and an ability to prioritize will be key. Our team culture is goal-oriented, collaborative and driven to achieve results. Key job responsibilities • Explore and develop expertise with internal Amazon data services and AWS products. Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs. Use analytical and statistical rigor to solve complex problems and drive business decisions. Analyze and validate data to maintain high data quality bar. Own advanced data extraction and basic data engineering needs for your customers. Own the maintenance of ongoing metrics, reports, and other artifacts used to drive key business decisions. Create high quality documentation for your customers and team members. Work with team members and business customers to gather requirements. About the team Grocery Catalog Operations and Intel (GCOI) supports Amazons WW Grocery Catalog through New Item Setup, Audits & Edits, SOP management, Data management, Process Automation, etc. BASIC QUALIFICATIONS - Experience with SQL or ETL - 2+ years of complex Excel VBA macros writing experience - 1+ years of tax, finance or a related analytical field experience - Experience defining requirements and using data and metrics to draw business insights PREFERRED QUALIFICATIONS - Experience creating complex SQL queries joining multiple datasets, ETL DW concepts - Experience in Amazon Redshift and other AWS technologies - Experience using very large datasets - Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages

We are seeking a highly organized, detail-oriented and strategic Capacity Planner to join our rapidly growing team. The primary responsibility of this role is to analyze data, forecast resource requirements, and optimize capacity to ensure efficient resource allocation and support business objectives, ensuring that we can meet current and future demands effectively. The ideal candidate will have strong quantitative skills, proficiency in data analysis tools, and the ability to collaborate effectively across departments. This role requires a proactive approach to anticipate needs, optimize resource allocation, and maintain operational efficiency in a dynamic environment. If you are a strategic thinker with a passion for capacity planning and thrive in a fast-paced, dynamic environment, we encourage you to apply and become a valuable member of our team! Key job responsibilities 1. Capacity Forecasting: * Analyze historical data and current trends to forecast future resource requirements for the growing team. * Collaborate with department heads and project managers to understand upcoming staffing needs and project timelines. * Develop and maintain capacity models and projections to inform strategic decision-making. * Create estimated Trainer capacity to deliver against forecast basis on the derived headcount plan along with monthly recompilation of training numbers. 2. Data Analysis: * Collect, analyze, and interpret data related to resource utilization, project demand, and workforce trends. * Develop models and algorithms to forecast capacity requirements based on historical data and future projections. * Identify patterns, trends, and anomalies in data to assist the leadership in taking informed capacity planning decisions. BASIC QUALIFICATIONS - Bachelor's degree or equivalent - Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc. - Experience defining requirements and using data and metrics to draw business insights - Experience in Excel (macros, index, conditional list, arrays, pivots, lookups) PREFERRED QUALIFICATIONS - Knowledge of Python, VBA, Macros, Selenium scripts - Knowledge of data visualization tools such as Quick Sight, Tableau, Power BI or other BI packages - Business Analytics and Capacity Planning experience.

Key job responsibilities We are seeking an exceptional Business Analyst to drive analysis and insights to help our teams make meaningful business decisions. As a Business Analyst, you will focus on improving the success of Sellers in our store by analyzing data, discovering and solving real world problems, and building metrics and business cases to improve customer experience. We are focused on your success and want to build future leaders within Amazon. A key component of the role is to identify process and system improvement opportunities by monitoring existing metrics, analyzing data, and partnering with scientists, risk managers and program managers within the team. You will design and develop automated reporting solutions to surface potential gaps of existing mechanism and support data-driven decisions. You will define business logic with business owners and deploy heuristic solutions. Lastly, you will enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format. BASIC QUALIFICATIONS - 2+ years of tax, finance or a related analytical field experience - 2+ years of complex Excel VBA macros writing experience - Bachelor's degree or equivalent - Experience defining requirements and using data and metrics to draw business insights - Experience with SQL or ETL PREFERRED QUALIFICATIONS - Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages - Experience using very large datasets