Manager, Business Intelligence, WW Ops Finance S&A OPAAT

October 11, 2024

Industry: Private

Employment Type:- Full Time

Work Hours:- 8 Hours

Locations:- USA

Full Job Description:-

Description

Are you passionate about creating central data analytics that can help our WW Operations Finance customers influence critical decisions in Amazon Operations? Do you excel in dynamic, fast-paced environments and are good with delivering high quality results within loosely defined problem spaces? If you thrive in innovation and can deliver scalable Business Intelligence Solutions, then the Worldwide Operations Finance Standardization & Automation (SnA) team has an exciting opportunity for you!

We are seeking a Business Intelligence Manager to lead the design, creation and automation of key central Financial Planning Model Inputs used by WW Operations Finance which will also involve collaboration with our Data Science team. In addition, this role will also lead creation of Product Performance and Success Metrics of our new in house end-to-end Financial Planning Product which will require cross collaboration with Customers and other teams involved in the product build.

You will also be expected to have excellent business and communication skills to collaborate with business owners, Product teams, and Tech leaders to gather infrastructure requirements, design data infrastructure, build reporting wireframes and integrate with Gen BI tools to meet business needs.

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Key job responsibilities

Play a thought leadership role within the organization.
Hire, drive innovation and continuously improve performance of the team members.
Lead functional and technical design of BI solutions for the team, including data architecture, data processing while ensuring efficiency.
Ensuring that solutions fulfill business needs in a scalable manner while meeting product vision.
Identify opportunities and implement solutions to improve analytics architecture and tools for immediate customers in the Finance organization.
Develop and support milestones across projects to ensure timely and successful deliverables.
Collaborate with cross-functional data engineering and operations finance teams to standardize existing processes, improve front-end reporting, and create mechanisms to accommodate rapidly changing business needs.
Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
Participate in strategic and tactical planning discussions to interface with business customers, gathering requirements and delivering complete BI solutions.
Partner with Product Managers across various organizations to develop technology vision for the organization.
Influence the strategic direction of large products as they pertain to Business Intelligence and help define the team's BI strategy and make technical trade-offs when required.

About The Team

This role is under S&A's OPAAT (Operations Finance Planning Automation and Analytics Team) sub-group. We are a diverse team with currently team members spread across EU, NA and India.

Here in OPAAT, we are all about knowledge sharing across the team and harboring work life balance. We have regular connects across the team to share ideas to improve current process and set goals towards delivering those ideas to optimize the way we deliver results.

Basic Qualifications

7+ 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
3+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
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

8+ years of quantitative and qualitative data science/business intelligence with significant business impact 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
Knowledge of AWS Solutions for Storage, Compute, Orchestration and BI Analytics to contribute and suggest continuous improvements to the product tech infrastructure