BUSINESS INTELLIGENCE, DIGITAL PAYMENTS AND EMERGING MARKETS - MEXICO

DESCRIPTION If you are passionate about developing business metrics and insights from complex data sets, this role is for you.
You will work closely with engineers, product managers, and business leaders to produce reports and analyses that help Amazon better serve our payments customers in Mexico.
To be successful in this role, you must be able to turn ambiguous business questions into clearly defined problems, develop quantifiable metrics, and implement Extract-Transform-Load (ETL) processes to support all data needs across the organization.
The Business Intelligence position, part of the Digital Payments and Emerging Markets team, will support product development and business operation.
You will be building complex business intelligence applications using a variety of analytics tools.
You should have deep expertise in working with large complex datasets, deriving insights from data, performance tuning, bringing data from disparate data stores, programmatically identifying patterns and developing visualizations.
You should have excellent business acumen and communication skills to be able to work with stakeholders to define business requirements and develop business metrics.
You will provide guidance and support for Product/Marketing/Project Managers on data-related interests and concerns.
Key job responsibilities • Define requirements for reporting, customer behavior, technical performance metrics, and work with technical teams and product managers to integrate into our development schedules.
• Identify opportunities to improve metrics and define reports that provide senior stakeholders with clear visibility to business performance.
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc.
to drive key business decisions.
• Develop, implement, and automate processes to collect and manage usage data from multiple sources.
• Partner with internal and external market research teams to analyze our customers and the competitive environment.
• Derive insights from customer feedback and usage data and provide input into new product development.
About the team Inclusive team culture At Amazon we embrace our differences and we are committed to furthering our culture of inclusion.
We host annual and ongoing learning experiences.
Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work Life Balance We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment.
We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth Our team is dedicated to supporting new members.
We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship.
We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional.
We are open to hiring candidates to work out of one of the following locations.
Mexico City, DIF, MEX BASIC QUALIFICATIONS • Bachelor’s degree in Computer Science, Mathematics, Statistics, Finance or related technical field or certificate of completion of studies required.
• 5+ years of professional background • 3+ years of relevant work experience in analytics, data engineering, business intelligence or related field.
• 3+ years experience gathering business requirements, using industry standard business intelligence tools to extract data, formulate metrics and build reports.
• 3+ years experience with SQL and Excel.
PREFERRED QUALIFICATIONS • Graduate degree in business, mathematics, statistics, economics, or other quantitative field.
• Proven track record of successful communication of analytical outcomes through written communication, including an ability to effectively communicate with both business and technical teams.
• Both technically deep and business savvy enough to interface with all levels and disciplines within the organization.
• Strong communication and presentation skills necessary to build effective working relationships and positively influence decision making.
• Experience with data visualization using Tableau or similar tools.
• Analytical mindset and ability to see the big picture and persuade others to see the same.
• Detail-oriented with an aptitude for solving unstructured problems.