דרושים Business Analyst Buyer Abuse Prevention ב-אמזון ב-Mexico, Orizaba

As a Business Intelligence Engineer on the SPIA Analytics Team, you will play a crucial role in managing and analyzing employee data while driving AI-powered automation initiatives. Your primary responsibilities include maintaining and optimizing the employee database, partnering with the Workforce Management (WFM) team to deliver accurate headcount metrics and attrition analyses, and spearheading the development of AI-driven solutions to automate manual processes and pipelines. In this role, you will be instrumental in leveraging artificial intelligence to enhance operational efficiency across the team. You'll collaborate closely with cross-functional teams to identify opportunities for AI implementation, design and develop innovative AI models, and integrate these solutions into existing workflows. This position combines data engineering, advanced analytics, and vanguard AI technologies to transform and optimize key organizational processes within the SPS organization."Key job responsibilities
1. Develop and maintain robust data frameworks and measurement mechanisms, focusing on employee data management and optimization of the employee database.3. Spearhead the development and implementation of AI-driven solutions to automate manual processes and pipelines, enhancing operational efficiency across the organization
5. Utilize advanced SQL and Python skills to conduct complex business decision-support analyses, including driver analysis and time series forecasting.7. Create and maintain effective visualizations and dashboards that tell compelling stories, providing actionable insights and recommendations for new business initiatives.
8. Continuously monitor data quality, optimize data flows, and provide training and support to business users, ensuring effective adoption and utilization of BI solutions across the organization.

- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with Experimentation and Non Experimental Causal attribution models
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Key job responsibilities
- Retrieve and analyze data using SQL, Excel, and other data management systems.- Drive small to medium operational enhancement projects.
Support Ops Analytics is dedicated to delivering timely data insights to the leaders of Support Operations. We create dashboards, reports, and data pipelines to enable our stakeholders to move as quickly as possible in meeting our goals while maintaining a quality selling partner experience.

- 3+ years of business analyst, data analyst or similar role experience
- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- Bachelor's degree or equivalent
- Experience defining requirements and using data and metrics to draw business insights
- Experience with Excel
- Experience with SQL

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- Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies- 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/QuickSight• 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 Analytics managers• Perform business analysis and data queries using appropriate tools• Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.)

- Bachelor's degree in business, engineering, statistics, computer science, mathematics or related field
- 1+ years of tax, finance or a related analytical field experience
- Experience creating complex SQL queries joining multiple datasets, ETL DW concepts
- Experience defining requirements and using data and metrics to draw business insights
- Experience demonstrating problem solving and root cause analysis
- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages
- Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.
- Experience using databases with a large-scale data set
- 1+ year of experience working in Analytics / Business Intelligence environment with prior experience of design and execution of analytical projects

- Experience in Amazon Redshift and other AWS technologies
- Experience scripting for automation (e.g., Python, Perl, Ruby)
- Experience using Python or R for data analysis or statistical tools such as SAS
- Experience in e-commerce / on-line companies in fraud / risk control functions
- Analytical mindset and ability to see the big picture and influence others
- Detail-oriented and must have an aptitude for solving unstructured problems. The role will require the ability to extract data from various sources and to design/construct/execute complex analyses to finally come up with data/reports that help solve the business problem
- Good oral, written and presentation skills combined with the ability to be part of group discussions and explaining complex solutions
- Ability to apply analytical, computer, statistical and quantitative problem solving skills is required
- Ability to work effectively in a multi-task, high volume environment
- Ability to be adaptable and flexible in responding to deadlines and workflow fluctuations

As a Workforce Analyst at Prime Air, you'll dive deep into operational data to optimize our workforce performance and drive efficiency. You'll work independently to analyze trends, develop forecasts, and create meaningful insights that directly impact our business success. This role offers the perfect blend of analytical problem-solving and operational improvement opportunities.
You'll be at the forefront of workforce optimization, leveraging data to make informed decisions while working closely with operations teams. Your day-to-day responsibilities will include analyzing workforce metrics, developing automated reporting solutions, and collaborating with stakeholders to implement process improvements. You'll monitor key performance indicators, conduct root cause analyses, create and maintain dashboards, and present findings to leadership. In this dynamic role, you'll balance multiple priorities while maintaining strict attention to detail, adapt quickly to changing business needs, and maintain high standards of accuracy and quality to enhance operational efficiency.
Key job responsibilities
As a WF Analyst some of your responsibilities will be, but not limited to:
• Analyze operational data to identify trends, patterns, and process improvement opportunities using SQL and visualization tools
• Create and maintain dashboards and performance reports to support data-driven decision making
• Monitor workforce metrics and service level adherence, ensuring accuracy and quality of all analyses
• Drive workforce capacity planning and optimization to achieve operational goals
• Conduct root cause analysis and develop solutions for operational challenges
• Support the development and enhancement of Workforce Management systems and tools
• Partner with operations teams to understand business needs and deliver actionable recommendations
• Present findings and updates to various stakeholders, driving change through clear delivery plans
• Manage multiple priorities while maintaining high standards of quality and accuracy
• Maintain documentation of processes and analyses
• Collaborate with technology teams on system improvements and automation opportunities

• 1+ year of experience in Workforce Management (Capacity planning, scheduling and Real Time Management).
• Excellent analytical and numerical skills.
• English language proficiency (written and spoken).
• Intermediate expertise in Microsoft Excel (Formulae, Pivot Tables, Power Query, etc.).
• Strong communication and presentation skills, both written and verbal.
• Knowledge of statistical analysis and forecasting methods.

• Bachelor's degree in Business, Analytics, Economics, or related field
• Advanced skills using Microsoft Excel in a business environment
• Experience with data visualization tools (e.g. Tableau, Power BI, Quicksight, etc)
• 2+ years’ experience in Operations or Contact Center Management.
• Working experience with digital visual content and/or machine learning activities, such as using image/video annotation tools, creating annotation guidelines for visual datasets, etc.

A key component of the role is to identify process and system improvement opportunities by developing the right metrics, analyzing data, and partnering with internal teams. In addition, you will design and develop automated reporting solutions to enable stakeholders to manage the business and make effective decisions. You will also enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.Key job responsibilities
• Creating automated reports and dashboards with a combination of BI tools
• Partnering with program team, Legal, and Tech stakeholders to understand challenges and provide /analysis to help drive program success
• Providing data support for business and cross-functional partners to address escalations and answer questions using SQL and AWS solutions
• Uncovering trends and correlations through mining and analysis to develop insights that can help stakeholders to make effective decisions
• Designing and executing analytical projects using statistical analysis

- Bachelor's degree in computer science, engineering, mathematics or equivalent
- 3+ years of business analyst, data analyst or similar role experience
- Experience in Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau
- Experience with SQL
- Experience defining requirements and using data and metrics to draw business insights
- Experience making business recommendations and influencing stakeholders

- 5+ years of business analyst, data analyst or similar role experience
- Master's degree in business or analytical discipline
- Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
- Prior experience in analytic modeling and advanced ability to draw insights from analysis supported by data
- Proficiency in 1+ programming language (Python, R, etc.)
- Advanced working knowledge of data mining using, ETL, data warehouse
- Experience using AWS analytical services (e.g., Redshift, Data Pipeline, EMR, Machine Learning, Kinesis)
- Proven analytical problem-solving skills in a complex space, attention to detail, and exceptional communication & organizational skills
- Ability to manage a broad range of tasks and a track record of efficiently meeting deadlines

Key job responsibilities
* Produce written recommendations and insights for key stakeholders that will help shape effective strategies.
* Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
* Simplify and automate reporting, audits, and other data activities; build solutions to have maximum scale and self-service ability by stakeholders.
* Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
* Solve complex and broad business problems with analytically derived solutions, applying appropriate analytical best practices.
* Develop programs, methodologies, and reports for analyzing and presenting data.
* Supporting cross-functional teams on day-to-day execution of projects and process improvements.
* Effectively collaborate in a fast-paced environment with multiple teams in a large organization.

- 3+ years of tax, finance or a related analytical field experience
- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- Bachelor's degree or equivalent
- Experience defining requirements and using data and metrics to draw business insights
- Experience with Excel
- Experience with SQL
- Experience making business recommendations and influencing stakeholders

Key job responsibilities
- Maintain, and improve data sets, pipelines and reporting to track and manage important KPIs and goals in the Account Integrity space
- Apply your expertise in quantitative analysis, data visualization and data-mining to design alarm systems, derive actionable insights and guide product strategy for stakeholders and leadership
- Support the the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. within SQL and other BI toolsA day in the life
1. Review instances of bad actor account activity and create rules for short term and mechanisms for long term to stop them
2. Report on fraud and abuse trends and leverage that information to support product development inputs
3. Create and maintain dashboards that detect and inform stakeholders (such as downstream payment and abuse product owners) on how to stop fraud and abuse via early stage detection of bad actor behavior
4. Participate and lead process improvement initiatives across account integrity teams
5. Develop rules to mitigate bad actor activity
6. Log in during on-call week to respond to any high severity events and if needed develop short term rules to mitigate impact

- 1+ years of compliance program management, legal, governance, audit, risk/loss prevention, or equivalent experience
- Bachelor's degree or equivalent
- Experience handling confidential information
- Experience with SQL and Excel

- 1+ years of program requirements definition and data and metrics leveraging to drive improvements experience
- Professional auditing qualification, or similar risk or compliance credentials
- Experience using scripting languages like R or Python