Data Science & Analytics Manager, Central Flow
Amazon
4 - 6 years
Bengaluru
Posted: 05/02/2025
Job Description
We are seeking a skilled Data Science & Analytics Manager with expertise in SQL, Python, web portal development, Amazon Quicksight dashboarding, and data science principles.
The ideal candidate will have a minimum of 4 years of experience in analytics, data management, and web application development.
This role requires a highly analytical, solution
- oriented professional who can drive insights and lead data
- driven initiatives to support decision
- making across departments.
Key job responsibilities
1.
Data Management and Analysis
o Develop and manage complex SQL queries to manipulate and extract data from large databases for analysis.
o Use Python for data processing, analysis, and automation to provide actionable insights and maintain data quality.
2.
Web Portal Development
o Design, develop, and maintain web portals for data visualization, user interaction, and information sharing.
o Collaborate with front
- end and back
- end development teams to ensure seamless user experience and functionality.
3.
Dashboarding and Visualization
o Build and maintain Amazon QuickSight dashboards to visualize data and support real
- time decision
- making.
o Design clear and intuitive dashboards that provide users with comprehensive insights into business and operational metrics.
4.
Data Science and Advanced Analytics
o Apply data science methodologies and statistical analysis to interpret trends, patterns, and correlations.
o Implement machine learning models and predictive analytics to enhance business forecasting and decision
- making.
5.
Project Leadership
o Oversee data projects from inception to completion, including requirements gathering, development, testing, and implementation.
o Ensure timely delivery of projects while meeting high standards of quality and accuracy.
6.
Stakeholder Communication
o Partner with business teams to understand analytical needs and deliver insights in a clear and impactful way.
o Train and mentor junior analysts and team members in SQL, Python, QuickSight, and data science concepts.
Basic Qualifications
- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
Preferred Qualifications
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
Our inclusive culture empowers Amazonians to deliver the best results for our customers.
If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how
- we
- hire/accommodations for more information.
If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
About Company
Amazon is a multinational technology and e-commerce company founded by Jeff Bezos in 1994. Initially focused on selling books online, it quickly expanded into a broad range of products and services, including electronics, cloud computing (via Amazon Web Services), streaming, and artificial intelligence. Amazon has revolutionized online shopping with fast delivery, personalized recommendations, and a subscription service called Amazon Prime. It is one of the world's largest and most valuable companies, with a significant impact on retail, technology, and logistics.
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