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.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

Amazon Senior BI Engineer, DS2-Science & Data Technology team in Guadalajara, Mexico

Description

The Amazon Devices team designs and engineers high-profile consumer electronics, including the best-selling Kindle family of products. We have also produced groundbreaking devices like Fire tablets, Fire TV, Amazon Dash, and Amazon Echo.

What will you help us create?

The Team: How often have you had an opportunity to be a founding member of a team that is solving a significant problem through innovative technology? Would you like to know more about how we are envisioning the use of data analytics, machine learning, AI and linear programming to solve these problems? If this sounds intriguing, then we’d like to talk to you about a role on a new Amazon team that's tackling a set of problems requiring significant innovation and scaling.

We are seeking a Sr. Business Intelligence Engineer with strong analytical, communication and project management skills to join our team. This role will be a key member of a Science and Data technology team based in Mexico (Guadalajara). Working closely with business stakeholders, software development engineers, BI Engineers and scientist colleagues, you will design, evangelize, and implement state-of-the-art solutions for never-before-solved problems, helping Amazon Device to provide customer great products and keep the data secure. You will work with the most complicated data environment, dive deep into ambiguous and complex issues, analyzing the data use traditional/advanced analytical approaches (e.g., statistical modeling, machine learning) to turn big data into actionable insights. You will employ right BI solution to virtualize the data as insights in a story telling approach. Your work will have a direct impact on the day-to-day decision making in the Amazon Devices Sales & Operations Technology, and end customers.

You are an individual with outstanding analytical abilities, excellent communication skills, good business understanding, and technically savvy. The successful candidate will be an analytical problem solver who enjoys diving into data, is excited about solving ambiguity problems, can multi-task, and can credibly interface between technical teams and business stakeholders.

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

Guadalajara, JAL, MEX

Basic Qualifications

  • 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

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