Chief Analytics Solutions Architect

1 week ago

Hyderabad, Telangana, India myGwork Full time
Job Summary

We are seeking a highly skilled Chief Analytics Solutions Architect to join our Global Data Analytics (GDA) team. As a key member of the Finance Operations, you will be responsible for building high-performing analytics products relying on native AWS tech stack, SQL, QuickSight, and Python.

About the Role
In this role, you will business partner across global Finance Operations to become an expert in core business processes. You will work backwards to enhance metric governance, identify and action analytical opportunities, and leverage data to build compelling business cases that influence our operations.

About the Team
The GDA team is in charge of all Finance Operations reporting across Amazon's businesses and geographies. Our mission is to be trusted and business-focused analytics partners, providing timely data, analytics, and insights across Service Centers (SCs) and global functions.

Responsibilities
- Develop Business Intelligence solutions that empower one of the world's largest Account Payables and Receivables teams to operate at scale, and resolve process defects
- Navigate ambiguity to rapidly build your knowledge of Amazon's 'Order to Cash' and 'Procure to Pay' processes (and their accompanying data sets) to become a trusted analytics partner for our 2,000+ business partners across Finance Operations Head Quarters and Service Centres
- Business partner with Accounts Payable Service Center leaders to identify, plan, and execute on analytical opportunities that enable identification and reduction of transactional defects and work drivers, goal performance measurements, new business expansion health metrics, and operational analysis
- Proactively perform advanced analytics and financial analysis that support the business prioritise work, identify anomalies, and improve business process
- Use of QuickSight/SQL/Python/Amazon tools, and partner with our Data Science team to deliver valuable insights, reduce cost per transaction, and invent and simplify
- Business partner with stakeholders to align, document, and govern metric definitions
- Provide training and support on systems such as QuickSight, and SQL to our business customers, and participating in cross-team knowledge sharing
- Creating queries and reporting on-demand
- Onboard new data sets, influence the design of our data infrastructure, and think big about solutions to complex analytic needs

Requirements
- 3+ 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 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
- 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 large-scale, complex datasets

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