Data Miner Jobs (NOW HIRING)

MULTIPLE POSITIONS AVAILABLE
Employer: AMAZON.COM SERVICES LLC
Offered Position: Business Analyst II
Job Location: Irving, Texas
Job Number: AMZ9442618
Position Responsibilities:
Support senior management by managing metrics reporting and performing data mining and big data analysis to provide strategic advice on business forecast models. Collect business use cases, research and evaluate opportunities to help Amazon leverage its data to support business functions through complicated mathematical modeling. Analyze forecast and metrics data. Automate reports for promotional and project launch campaigns. 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 mathematics 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.
Position Requirements:
Bachelor's degree or foreign equivalent degree in Business Administration, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered or as a Business Analyst, Business Intelligence Engineer, Data Engineer, Data Miner or a related occupation. Must have one year of experience in the following skill(s): (1) Developing automated reporting using advanced MS Excel skills; (2) Maintaining data integrity to assure input/output accuracy in various databases; (3) Using database technologies, including SQL, ETL or Oracle; (4) Processing large, multi-dimensional datasets from multiple sources including Kibana, OBIEE, Datanet or equivalent data extraction tool; and (5) Conducting custom data analysis to inform data driven decisions using tools such as R, Python, or Excel.
Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
40 hours / week, 8:00am-5:00pm, Salary Range $74,300/year to $130,100/year.
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, visit:
https://www.aboutamazon.com/workplace/employee-benefits.#0000
BASIC QUALIFICATIONS
Position Requirements:
Bachelor's degree or foreign equivalent degree in Business Administration, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered or as a Business Analyst, Business Intelligence Engineer, Data Engineer, Data Miner or a related occupation. Must have one year of experience in the following skill(s): (1) Developing automated reporting using advanced MS Excel skills; (2) Maintaining data integrity to assure input/output accuracy in various databases; (3) Using database technologies, including SQL, ETL or Oracle; (4) Processing large, multi-dimensional datasets from multiple sources including Kibana, OBIEE, Datanet or equivalent data extraction tool; and (5) Conducting custom data analysis to inform data driven decisions using tools such as R, Python, or Excel.#0000
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.