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    Business Intelligence Engineer, AWS Security - Portland, United States - myGwork - LGBTQ+ professionals & allies

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    Description
    This inclusive employer is a member of myGwork – the largest global platform for the LGBTQ+ business community.

    Description

    At AWS, Security is priority zero.

    As part of the Amazon Web Services (AWS) Security team, we are looking for a creative problem solver, analytical and technically skilled Business Intelligence Engineer to join our team.


    As a part of AWS Security, you'll get to operate in a constantly changing environment and get to work with AWS business and engineering teams on business-critical security projects and programs.

    We work across AWS to drive strategic security initiatives, design, and deliver tooling and automation, and continue to raise the bar on security at AWS.

    Our team drives programs to enable customers to integrate control implementation and assurance from across all of Amazon.


    As a Business Intelligence Engineer, you'll be instrumental in constructing data pipelines, crafting robust metrics, and conducting advanced statistical analyses to gauge the effectiveness of our security assessment programs.

    Your role will encompass leading end-to-end development of business intelligence solutions, empowering strategic decision-making processes.

    If you excel at distilling complex data insights into actionable strategies and can effectively communicate them to both technical and non-technical stakeholders, we'd love to hear from you.

    Key job responsibilities

    Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems.
    Produce recommendations and insights for key stakeholders that will help shape effective metric development and reporting.
    Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support the needs of the business.
    Apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complicated data sets.
    Simplify and automate reporting, audits, and other data-driven activities.

    Partner with Engineering to enhance data infrastructure, data availability, and broad access to customer insights.

    About The Team

    Diverse Experiences

    Amazon Security values diverse experiences.

    Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply.

    If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

    Why Amazon Security?

    At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences.

    Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services.

    We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.

    Inclusive Team Culture

    In Amazon Security, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.

    Training & Career Growth

    We're continuously raising our performance bar as we strive to become Earth's Best Employer.

    That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.

    Work/Life Balance

    We value work-life harmony.

    Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture.

    When we feel supported in the workplace and at home, there's nothing we can't achieve.

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

    Portland, OR, USA | Seattle, WA, USA

    Basic Qualifications

    3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

    Preferred Qualifications

    Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
    Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

    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

    Our compensation reflects the cost of labor across several US geographic markets.

    The base pay for this position ranges from $79,600/year in our lowest geographic market up to $185,000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
    #J-18808-Ljbffr


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