Job Description

DESCRIPTION

Job summary
Are you passionate about leveraging data to deliver actionable insight that impacts Amazon business decision? Does the prospect of dealing with huge payment data across the globe excite you? Are you looking for a role that leverages both your analytical and business abilities? Look no further, DEP Team is seeking a BIE who can collaborate with diverse set of stakeholder including product managers, marketing managers, software development managers/engineers and other partner teams within consumer payment and analyse large data sets, prove disprove hypothesis, build self-service dashboards and reports.

Amazon's Digital and Emerging Payments team develops global services to create and improve the customer paying experience. Measuring customer behaviour, developing insights and monitoring our success requires large amounts of data. We're currently looking for a tenured Business Intelligence Engineer to focus on improving the success of our product. This is an opportunity to join a group with a broad charter and stakeholders across Amazon to directly influence the customer experience for Amazon products worldwide. This role offers exciting challenges and the opportunity to influence and drive a growing business area. A successful candidate loves problem solving, obsesses over data, and has a track record of using data to influence successful business decisions.
"This position is open for both Bangalore and Chennai location."

Key job responsibilities
You will:

• Lead and develop payment metrics: Lead and design reporting solution for Payment metrics for new and existing payment products. Work with Data engineers, Software engineers and Product managers to define reporting needs.
• Build Self-Service BI: Build self-service tools and dashboard that not only gives aggregated metrics but also provide ways to pull most granular data for defect verification, customer communication, deep-dive etc.
• Perform data analysis: Perform deep-dive and data analysis. Provide recommendation on new metrics or business decision. Create marketing performance measurement tools and prove-disprove hypothesis
• Run DSI Analysis: Learn Payment DSI methodology, run DSI ML models created by science team, gather input data, define parameters and publish results to stakeholders.
• Mentor team mates, provide inputs in team and org level strategic planning, lead cross org discussions

You are:

• Customer obsessed: You have a sharp business acumen and are passionate about changing the way customers used data to drive success.
• Work independently and comfortable with ambiguity: Work independently on incomplete, unstructured and ambiguous requirements.
• A leader: Manage multiple projects and stakeholders simultaneously. Provide recommendation based on analysis. Make intelligent decisions using data and business priority, guide team's roadmap, help & mentor other teammates. Work across multiple teams to make alignment, create mechanisms and influence team's roadmap.
• Design & develop best in class solutions: Design best in class data pipelines and reporting solutions that are efficient, scalable, extensible and create automated monitoring and alerts to reduce human intervention.

About the team
Work/Life Balance
Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness, fulfilment and long term engagement.

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 and enable them to take on more complex tasks in the future. We are dedicated to supporting our new team members. Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorship.

Learning opportunities
Our team believes in continuous learning that's why we encourage individuals to find time and take courses/trainings in-person or online. We also provide free access to one of the best online course provider to enable employee development and overall organizational growth.

BASIC QUALIFICATIONS

• Bachelor's degree in Computer Science, Engineering, Mathematics or other business/analytical disciplines or equivalent experience.
• 5+ years of relevant experience as business intelligence engineer in data/BI space.
• Proficiency with reporting, dashboarding, data mining using SQL, reporting tools (e.g. Excel) and data visualization tools (e.g. Quicksight, Tableau or Qlik)
• Proficiency in data modeling and transformation of large-scale data using SQL, Spark, Hive, EMR, or other Big Data technologies
• Proficiency in creating reporting data pipelines, designing tables/views and optimizing queries.
• Proficiency in descriptive statistics (i.e. measures of distribution) and familiar with inferential statistics (e.g. hypothesis testing, confidence intervals) and know when such methods are appropriate.
• Experience in one or more scripting languages (e.g. Python, R, Shell)
• Excellent communication and presentation skills working with multiple peer groups and different levels of management.

PREFERRED QUALIFICATIONS

• Master's degree in BI, Finance, Engineering, Statistics, Computer Science, Mathematics, Finance or other quantitative area
• 7+ years in relevant experience business intelligence engineer or equivalent
• Experience using AWS technologies such as Redshift, S3, EC2, EMR and other data warehouse or pipeline products.
• Advanced analytical skills, with experience of using statistical methods (e.g. regression, clustering, classification) to solve business problems.