Manager III, Business Intelligence, GFS, GFS (Global Finance Solutions)

7 years

0 Lacs

Posted:1 week ago| Platform: Indeed logo

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On-site

Job Type

Full Time

Job Description

DESCRIPTION

About the Organization: Amazon is a US-based multinational electronic commerce company headquartered in Seattle, Washington. Amazon.com started as an online bookstore, but soon diversified into many other categories, with a vision to be earth's most customer-centric company & to build a place where people can come to find and discover anything they might want to buy online.
About the role: Amazon's Global Finance Solutions (GFS) team is a fast-paced, team-focused, dynamic environment and delivering great experiences for our customers is top priority. GFS is seeking a Business Intelligence Engineer to support EU Ops Finance Team. As a BI Manager You directly manage a BI team with existing systems (e.g., Redshift database, Data Mart) and defined strategy and deliver BI solutions for difficult problems efforts, and decisions. As the manager, you are accountable for the customer experience, project prioritization, data/solution quality, and system maintenance. You are also accountable for the experience of the employees that report to you. You set the example for our Leadership Principles. You take the time to understand the larger picture (i.e., customer needs, business opportunities, and problems to be solved) and share that knowledge. You partner with your manager, stakeholders, and customers (e.g., analysts, scientists, TPMs, etc.) to clarify your team’s mission, vision, and priorities. You help your team see how their work aligns with the organizational goals. You seek long-term, strategic guidance from your manager. Key job responsibilities
  • Lead the design, implementation, and delivery of BI solutions for complex and ambiguous problems
  • Take ownership of BI infrastructure and provide system-wide design guidance
  • Drive BI engineering best practices and set standards for operational excellence
  • Perform complex business analysis and provide strategic recommendations to senior leadership
  • Design and implement technical solutions with appropriate analytics strategy and data set design
  • Lead large projects that require work of multiple team members, dividing work effectively
  • Mentor and develop other BIEs, providing technical assessments for BIE II and BIE III promotions
  • Build consensus and resolve contentious technical issues across teams
  • Influence organizational BI architecture and cross-team data strategies
  • Communicate findings and strategic insights to management audiences

A day in the life A day in the life of a BIE Manager at GFS involves leading complex, large-scale initiatives and providing technical leadership to the team. The day typically starts with strategic planning and architecture discussions, followed by hands-on work on the most critical solutions. You'll spend time mentoring junior team members, conducting design reviews, and collaborating with multiple stakeholders across the organization to ensure BI solutions align with business strategy. The day includes making key technical trade-offs, managing the team and driving best practices that impact the entire organization, all while maintaining Amazon's high standards of operational excellence. Tools used include: 1. SQL (Primarily Redshift) 2. ETL tools (internal) 3. Excel 4. Data visualization tools (QuickSight) 5. Report scheduling tools (internal) 6. Scripting language (e.g., Python, Java, or R)

BASIC QUALIFICATIONS

  • 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

PREFERRED QUALIFICATIONS

  • 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

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.

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