Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

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Job Information

Amazon Sr. BIE, AWS Partner Organization in Seattle, Washington

Description

The AWS Partner Organizations Centralized Data and Insights Team (CDI) has an immediate need for a creative and driven Sr Business Intelligence Engineer (BIE).

The Centralized Data and Insights Team (CDI) owns the central business intelligence and analytics function for the AWS Partner Organization. We are a team of builders that enable self-service reporting capability across partner programs, analyze and optimize partner investments, and drive adoption of scalable and automated mechanisms. We build for the long term but ensure we are responsive to customer needs.

As a Sr Business Intelligence Engineer on this team, you will apply ETL, Scripting (e.g. Python), SQL, and visualization skills to develop scalable BI solutions. You are innovative and technically versatile. Your deliverables will help accelerate business by finding actionable insight and key drivers behind the APOs most visible metrics.

Key job responsibilities

• Provide thought leadership in global business deep dives across a variety of key performance indicators.

• Proactively make and justify recommendations based on statistical techniques, deep familiarity with the customer experiences, as well as by cross-referencing multiple data sources and comparing against the wider industry.

• Automate reporting for regular metrics, identify areas of opportunity to automate, scale ad-hoc analyses, build and inform BI tool improvements.

• Own alignment and standardization of analytical initiatives across the global partner teams.

• Define, develop, and build business critical metrics and reports across all business levers, key performance indicators, and financials.

• Provide data engineering with functional and technical requirements to improve efficiency of data pipelines.

• Drive efforts with business leaders, BI leaders and executive management across the partner organization.

• Stay up to speed with the latest technology/techniques in Generative AI with a view to use it to raise the bar on reporting across the APO.

• Partner with engineering, product, business and finance teams to create key performance indicators and new methodologies for measurement.

• Translate data into actionable insights for stakeholders both in and out of the team, create analytical insights to identify key priorities.

A day in the life

The role is part of a Centralized BI Team in the AWS Partner Organization. The primary focus is developing scalable reporting artifacts that can be leveraged by other Line of Business BI Teams, easily. You will be the conduit between reporting logic in the greater AWS Organizations, whilst closely partnering with other APO BI Teams to tell the story of the APO within AWS. You will create trusted and clear data artifacts as well as act as a SME on the drivers behind trends in top line reporting and any actionable Insights, sales teams may take in response. BIEs in the CDI Team will work across multiple data functions and Sales personas interchangeably and exhibit an ability to communicate effectively with both technical and non-technical Amazonian’s.

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

Austin, TX, USA | Dallas, TX, USA | Houston, TX, USA | Nashville, TN, USA | New Jersey, NJ, USA | San Diego, CA, USA | Seattle, WA, USA

Basic Qualifications

  • 10+ years of professional or military experience

  • 5+ years of SQL experience

  • Knowledge of data warehousing and data modeling

  • Experience programming to extract, transform and clean large (multi-TB) data sets

  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.

  • Experience with theory and practice of design of experiments and statistical analysis of results

  • Experience with AWS technologies

Preferred Qualifications

  • Experience working directly with business stakeholders to translate between data and business needs

  • Experience managing, analyzing and communicating results to senior leadership

  • Experience with ML/AI principles and application.

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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