Business Intelligence Analyst, AWS Operations

Job description

DESCRIPTION

Amazon’s AWS Operations Organization is charged with safeguarding, operating, and maintaining Amazon’s data centers. We are seeking a dynamic Data Analyst with extensive problem solving experience to develop reporting solutions that include (but are not limited to) complex reports, dashboards and data mining, data collection and analysis documentation, and report-out activities.

As a successful candidate, you will be leading the charge in developing robust data modeling strategies to transform systemic reporting into impactful information that will drive and determine operational business performance, as well as providing in depth metrics analysis to help solve complex problems. You must be able to analyze large amounts of data to understand patterns. Additionally, you will be an astute story teller, clearly communicating clean/persuasive data directly to diverse stakeholders, local and global, technical and non-technical.

Extensive operational reporting, ad hoc reporting to produce and automate routine metrics and dashboards for management is a staple of this role. You will have a passion to manage large scale data. You will also have a high level of customer focus and partner with global teams to answer key operational metrics questions and respond to high priority requests from business users. You will strive to continually improve the ongoing reporting and analysis processes, automating or simplifying self-service support for secondary datasets. As needed, you will interface with other technology teams to extract, transform, and load data from a wide variety of data sources.

Key Responsibilities include:

· Implement a wide range of data technologies (e.g. SQL, Redshift, Python, R, Tableau, Oracle, EMR, Quicksight, etc.)
· Work closely with various stakeholders to define the information needed and how best to present it
· Support program leadership with timely recurring and ad-hoc analysis
· Partner with diverse global teams including finance, software engineering, operations, capacity planning, and logistics
· Drive continuous process improvement and automation
· Demonstrate good judgment in solving problems and recognizing risks before they become problems
· Dive Deep to solve complex problems and assist business partners in developing a “path to green”

Desired profile

BASIC QUALIFICATIONS

· Bachelor's degree in Computer Science, Engineering, Math, Finance, Statistics or related discipline
· 3-5 years data analyst experience using business intelligence reporting tools. (Tableau, MicroStrategy, Business Objects, Cognos, OBIEE, SSAS Cubes, Datanet, etc.)
· Advanced knowledge of Excel and SQL programming skills required
· Experience and ability to effectively gather operational performance data, information from multiple data sources and systems then present that data and information in a logical and pragmatic way
· Demonstrable communication skills both with technical as well as non-technical teams in analyzing data requirements, and providing information to answer key operational metrics questions
· Proven ability to operate successfully and independently in a fast-paced, highly ambiguous environment with customer focus
· Strong attention to detail