Job Description
Team Leadership & Development Build, mentor, and lead a high-performing team of Business Intelligence Engineers to create and support datasets, metrics, and KPIs aligned with DSP business goals Recruit top talent and foster a culture of innovation, collaboration, and professional growth Provide guidance, feedback, and performance evaluations to team members, driving their technical development and career success Develop team members technical skills in data engineering, distributed systems, and cloud technologies Technical Strategy & Execution Partner with Data Engineers (DEs), Product Management Teams (PMTs), Software Development Managers (SDMs), and technical teams to build relevant data products and solutions Define and develop data infrastructure, including data pipelines, data warehousing, and ETL/ELT processes Drive data goverce initiatives including data integrity, metrics definitions, single source of truth, accountability, and documentation Implement tooling and automation to continuously measure KPIs and empower Delivery Associates (DAs) and DSPs to improve safety, quality, and experience Stay current with technology trends, methodologies, and tools in AI/Automation, recommending, and implementing technologies that enhance capabilities and efficiencies Business Partnership & Strategy Establish strategic partnerships with business stakeholders to understand requirements and translate them into technical solutions Build the teams 1-year plan (1YP) and 3-year plan (3YP) vision and effectively communicate progress on key initiatives Own and drive roadmap strategy and definitions for data engineering deliverables Make feature delivery decisions and manage tradeoffs in data product development Contribute to engineering, technology, and data product strategy decisions at the organizational level Data Products & Analytics Enablement Oversee development of data products including scorecards, incentive systems, dashboards, and visualizations for key metrics and KPIs Partner with DSP Performance program managers to develop relevant and defensible metrics that drive and track business strategy Enable self-service analytics capabilities for business users through well-designed data models and documentation 7+ years of business intelligence and analytics experience
5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
Experience with SQL
Experience with ETL
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software
Experience leading and influencing the data strategy of your team or organization
Experience owning/driving roadmap strategy and definition
Experience with feature delivery and tradeoffs of a product
Experience contributing to engineering discussions around technology decisions and strategy related to a product 4+ years of working with very large data warehousing environment experience
10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
Masters degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
Experience in Amazon Redshift and other AWS technologies
Experience building large-scale, high-throughput, 24x7 data systems
Experience communicating technical details verbally and in writing
Experience dealing well with ambiguity, prioritizing needs, and delivering measurable results in an agile environment
Experience with data orchestration tools (Airflow, Step Functions, or similar)
Experience with modern data stack tools and practices
Job Classification
Industry: Internet
Functional Area / Department: Data Science & Analytics
Role Category: Business Intelligence & Analytics
Role: Analytics / BI Manager
Employement Type: Full time
Contact Details:
Company: Amazon
Location(s): Hyderabad
Keyskills:
Product management
Computer science
Automation
SAS
Data modeling
Agile
Data structures
Business intelligence
MATLAB
Python