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Business Intel Engineer II - AMZ9443924

Amazon

Asti

In loco

EUR 40.000 - 60.000

Tempo pieno

4 giorni fa
Candidati tra i primi

Descrizione del lavoro

A leading technology company is seeking a Business Intel Engineer II to enhance forecasting processes and develop innovative business intelligence tools. The ideal candidate will hold a Master's degree in a relevant field and possess experience in SQL and statistical analysis. Strong analytical skills are essential for transforming complex data into actionable insights. This position promises a dynamic working environment and competitive benefits.

Competenze

  • Master's or Bachelor's degree in a relevant field.
  • Experience using SQL, ETL, Oracle.
  • Ability to perform statistical analysis and develop automated reporting.

Mansioni

  • Support senior management by managing metrics reporting.
  • Research and develop new forecasting technologies.
  • Utilize database technologies for innovative BI tools.

Conoscenze

SQL
ETL
Mathematical modeling
Statistical analysis

Formazione

Master's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or related field
Bachelor's degree in relevant fields with 5 years of experience

Strumenti

R
SAS
STATA
SPSS
Oracle
Descrizione del lavoro

Job ID: 3051180 | Amazon.com Services LLC

MULTIPLE POSITIONS AVAILABLE
(Note: retained as part of the original content; streamlined below)

Employer: AMAZON.COM SERVICES LLC

Offered Position: Business Intel Engineer II

Job Location: Boston, Massachusetts

Job Number: AMZ9443924

Responsibilities
  • Support senior management by managing metrics reporting and performing mathematical and statistical modeling to produce business forecasts.
  • Research, design, and develop new forecasting technologies to help Amazon leverage its data to support business functions through complicated mathematical modeling.
  • Utilize database technologies, including SQL, ETL, and Oracle to design, develop, and evaluate highly innovative business intelligence tools and automated reports for campaign targeting and optimization.
  • Transform complicated business problems into mathematical modeling and provide data-driven solutions.
  • Perform statistical analysis, including clustering, cross-session and panel data regression using R, SAS, STATA, and SPSS.
  • Establish scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation.
Qualifications
  • Master\'s degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data Engineer, Data Miner, or a related occupation. Employer will accept a Bachelor\'s degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master\'s degree and one year of experience.
  • Must have one year of experience in the following skill(s): (1) using SQL, ETL or Oracle; (2) processing large, multi-dimensional datasets from multiple sources; (3) performing statistical analysis; and (4) developing automated reporting.
Preferred Qualifications

Please see job description and the position requirements above.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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