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Amazon Business Intell Engineer III, Organizational Planning and Effectiveness (OPE) in Dallas, Texas

Description

As part of the Amazon-wide Global Talent Management and Compensation team, the Organizational Planning and Effectiveness team’s mission is to enable Amazon to build healthy and effective organizations with the right leaders, in the right roles, at the right time. We develop philosophies, mechanisms and products that guide leaders to inspect and make data-driven decisions to improve their organizational operating models, structures, and executive talent. In this role, you will be responsible for scaling our existing infrastructure, incorporating new data sources, developing analytic solutions, building robust data pipelines for production level systems, and creating reporting us BI tools. In partnership with product, engineering and business teams, you will work backwards from our business questions to drive scalable solutions. You will be a technical leader owning the architecture of our data platform and influence best practices across multiple teams.

Key job responsibilities

  • Create end-to-end analytics solutions (acquire, integrate, and transform various data, develop production reporting pipelines, develop front-end BI tools (e.g., Tableau, Power-BI, Quicksight).

  • Influence organization decisions through providing data-driven recommendations verbally or in writing, as an analytics thought-leader and subject matter expert for your domain

  • Work efficiently and routinely deliver the right things with limited guidance in complex and/or ambiguous problem areas in existing or new BI initiatives.

  • Take the long-term view of your team's solutions and how they fit into the team’s architecture. Consider where each solution is in its lifecycle and where appropriate, proactively fix architecture deficiencies.

  • Take the lead on large projects that require the work of multiple persons. Divide a BI project into parallel work that can be performed by you and other data professionals and then reassembled successfully into a cohesive launch.

  • Consider and explain capabilities and limitations of the systems you work with (e.g., cluster size, concurrent users, data classification) to technical and non-technical audiences, helping them understand what’s currently possible and which efforts need a technology investment (e.g., data pipeline doesn’t exist, report needs additional functionality).

  • Establish good working relationships with teammates and peers. Recognize discordant views and take part in constructive dialogue to resolve them.

  • Influence team’s strategy, taking ownership of team infrastructure, providing a system-wide view and design guidance. - Drive BI engineering best practices (e.g., Operational Excellence, code reviews, syntax and naming convention, metric definitions, alarms) and set standards.

  • Work to resolve the root cause(s) of pervasive or persistent problems; your efforts may unblock related teams. This may require you to influence decisions made by other teams

A day in the life

You want to make changes that help Amazon’s most senior leaders build healthy organizations. You don’t want to make something 10% better as a part of an enormous team. Rather, you want to innovate with a small community of passionate peers. You have experience in data analytics, reporting, modeling, transformation and warehousing, and a desire to learn more about these subjects. You want a trusted role in strategy and product design. You put the customer first in your thinking. You have great problem-solving skills. You have great judgment and communication skills, and a history of delivering results. You are considered a technical leader on your team.

About the team

The Organizational Planning and Effectiveness team formed in November 2023 to create a single-threaded focus within Global Talent Management and Compensation. The team owns two enterprise-wide products: Rise, a succession planning product that helps leaders identify talent for critical roles and plan for future talent moves; and Blueprint, an organizational design product in prototype that helps leaders rapidly model alternate scenarios for structures, roles, and reporting relationships. The team is building a new enterprise-wide executive talent management product that helps leaders translate business strategy into executive talent needs, then identify, develop, and match successors to the right roles. This growing team partners with Research Science, UX Design, and additional talent management teams across the company to build innovative experiences for Amazon’s leaders and their HR partners.

We are open to hiring candidates to work out of one of the following locations:

Arlington, VA, USA | Dallas, TX, USA | Seattle, WA, USA

Basic Qualifications

  • 5+ years of SQL experience

  • Experience with data visualization using Tableau, Quicksight, or similar tools

  • Experience with data modeling, warehousing and building ETL pipelines

  • Experience in Statistical Analysis packages such as R, SAS and Matlab

  • Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

Preferred Qualifications

  • Bachelor's degree in data analytics, data engineering, data science, or an equivalent field

  • Experience with big data technologies ( Hadoop, Hive, Spark, EMR)

  • Experience with AWS services (Redshift, Glue, QuickSight, etc.)

  • Experience operating data warehouses

  • Experience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy

  • Experience presenting analytical findings and recommendations verbally or in written form to a senior or executive leadership audience

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $104,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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