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Bie, Digital and Emerging Payments

3 months ago

Chennai, Tamil Nadu, India ADCI - Karnataka Full time
5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience writing complex SQL queries
  • 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


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.

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 selfservice tools and dashboard that not only gives aggregated metrics but also provide ways to pull most granular data for defect verification, customer communication, deepdive etc.
  • Perform data analysis: Perform deepdive and data analysis. Provide recommendation on new metrics or business decision. Create marketing performance measurement tools and provedisprove 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
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.

Chennai, TN, IND

  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with largescale, complex datasets