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BI Engineer I - Data Analytics - Global Accounts Receivable - Data Analytics (GARDA)

1.00 to 10.00 Years   Hyderabad, Pakistan   24 May, 2023
ADCI HYD 13 SEZ
1 Jobs Openings
Job LocationHyderabad, Pakistan
EducationNot Mentioned
SalaryNot Mentioned
IndustryOther Business Support Services
Functional AreaNot Mentioned

Job Description

JOB DESCRIPTION:Amazon FinOps is seeking a highly skillful Business Intelligence Engineer and Automation specialist to be part of the Data Analytics and Business Intelligence Team for Finance Operations. As an BI expert at Amazon FinOps, you will have the opportunity to work on some of the worlds largest data sets, influence the long term evolution of our data analytics capability and help build data driven operational strategies to adapt and be successful in ever changing business environments.Key Responsibilities

  • Would be playing a key role in developing and maintaining complex data models - that would be driving various KPI Dashboards, reports across various platforms for Business and Leadership consumption.
  • Adherence to the highest degree of data sanctity ? drive towards building single source of truth that can be adopted globally.
  • Ability to combine and deal with the complex and unstructured data tables provisioned across varied sources
  • Ability to build robust and scalable performance economical scripts that would drive the data models and reports.
  • Ability to understand and identify the data and reporting requirements beyond conventional needs of Business and Operations
  • Proactively develop new metrics and studies to provide useful insights for operations and strategic leadership to drive actions.
  • Support the Global FinOps teams on business reporting, ad hoc analysis, statistical inference and predictive modelling.
  • Ability to think through and present historical data trends, operational statistics in a meaningful, insightful and actionable manner.
  • Strong Data Interpretation and ability to map/relate data to Business and Operations.
  • Investigate the data, understand root cause/questions, and come up with alternative measurement and forecasting strategies
  • Predictive Analytics: Ability to analyze and build statistically robust forecasting models for Operational Effort drivers and related metrics that can help in planning and preparing for the future.
  • Create scalable and repeatable solutions that can be used globally
  • Data/Text mining algorithms and Data analytics on processes and customer behavioral patterns to identify critical business and operational insights to make recommendations to optimize operational efforts.
Tools used include:1. SQL (Oracle and Redshift)2. Tableau3. ETL tools (internal)4. Excel (advanced)5. Python, R
  • 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
  • Experience with scripting language (e.g., Python, Java, or R)
  • Knowledge of data modeling and data pipeline design
  • Experience with statistical analysis, co-relation analysis

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