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Sr Business Intelligence Engineer, AWS Kumo Analytics
Sr Business Intelligence Engineer, AWS Kumo Analytics-April 2024
Vancouver
Apr 8, 2025
ABOUT AMAZON
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About Sr Business Intelligence Engineer, AWS Kumo Analytics

  Description

  We are powering an automation and self service driven customer journey for AWS customers leveraging a range of Analytics tools to generate business shaping insights.

  About AWS: For more than 11 years, Amazon Web Services (“AWS”) has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 100 fully featured services to millions of active customers around the world - including the fastest-growing startups, largest enterprises, and leading government agencies - to power their infrastructure.

  About the Analytics Team: The Analytics team is a small, central group in the AWS Support organization. The team comprises members from a range of skill-sets such as strategy & planning, Machine Learning / predictive analytics and Business Intelligence. The Analytics team is responsible for pushing our Product, Process and Customer understanding and insight beyond the here and now to create value for the long-term. The team is responsible for coming up with hypotheses, uncovering key insights and developing a point of view on actions across the portfolio of our products and services.

  About the Role: If you love driving critical thinking and insight into challenging, unstructured problems and working with leaders in the organization to bring those insights into action, this role is for you. This is a hands-on role, however, being a part of a small team gives opportunity to take ownership of the customer / business problem across the spectrum from ideation to setting it up for implementation in partnership with stakeholder teams.

  Analytics topics include, but not limited to:

  Product / Value Proposition design

  Customer / Go-to-market

  Customer Experience

  Business Planning & Forecasting

  Inclusive Team Culture

  Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.

  Work/Life Balance

  Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

  Mentorship & Career Growth

  Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

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

  Vancouver, BC, CAN

  Basic Qualifications

  10+ years of professional or military experience

  5+ years of SQL experience

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

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

  Experience with AWS technologies

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

  Experience with theory and practice of information retrieval, data science, machine learning and data mining

  Preferred Qualifications

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

  Experience managing, analyzing and communicating results to senior leadership

  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, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.

  The base salary for this position ranges from $97,400/year up to $162,600/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.

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