Hewlett Packard Enterprise Company Quality Engineer – Analytics in Fort Collins, Colorado

Quality Engineer – AnalyticsPrimary LocationFort Collins, Colorado, United States; Roseville, California, United States

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Overview

At Hewlett Packard Enterprise, we bring together the brightest minds to create breakthrough technology solutions that advance the way people live and work. What sets us apart? Our people and our relentless dedication to helping our customers make their mark on the world.

We are a team of doers, dreamers and visionaries; inspired by our purpose and driven by our strategy. We live by our three values: partner, innovate and act.

Our legacy inspires us as we forge ahead, always pushing to discover what’s next. Every day is a new opportunity to advance and grow ourselves, our company and the industry. Some people call it an obsession, we call it a way of life.

Status:Full-Time

Level:Mid

Travel:No

Glassdoor Rating: 70%

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What you need to know about the jobJob ID1030571Date posted9/14/2018Primary LocationFort Collins, Colorado, United States; Roseville, California, United StatesOther locationFt. Collins,Colorado,United States of AmericaJob CategoryEngineeringScheduleFull timeShiftNo shift premium (United States of America)

Quality Engineer responsible for creating, leveraging, and deploying solutions that provide actionable insights to the business that enable predictive, preventive, and proactive action.

Quality Engineer willprovide businessstakeholdersactionable insights to enable preventative and proactive action.

Responsibilities:

  • Helping teams see new slices of the customer experience using data analytics skills (tools may include R, Excel, PolyAnalyst, Python). •Use SQL knowledge to link across multiple databases and figure out how to join data from multiple sources using an ETL (extract, transform, load) tool, writing the results to a DB and getting the data into Excel for analysis· Drive unstructured data into structured results using Machine Learning Algorithms and Statistical Methods

  • Help teams turn data into actionable information by creating meaningful categories through call center case notes, and employ text mining and statistical methods to create relationship and correlation. Meet with product experts to discuss product issues and then transform their needs into functional text mining algorithms, run the text mining software, and ask the experts for feedback on the results. Ability to perform data cleansing on messy data sources. Expand capability to conduct analysis thru development of more efficient classification systems that lead to automation and ability to scale our systems to handle larger data sets. Ability to create data pipelines that are scalable, repeatable, and can serve multiple users within the company

  • Drive improvements in quality: Understanding and apply project management fundamentals including develop lean six sigma skills to participate & lead quality improvement projects that produce measurable results. Provide expertise to other teams in the area of data insights by creating taxonomy structure, creating search methodologies and presenting and displaying the information. Find and implement new statistical methods that can provide new insights and drive action.

Education and Experience Required:

  • Bachelor's or Master's degree in Mechanical, Electrical, or other Engineering, Computer Science, or equivalent.

  • Requires 4-6 years experience.

Knowledge and Skills:

  • Using appropriate engineering design tools and software packages to drive improvement in new and current products.

  • Strong analytical and problem solving skills.

  • Using empirical analysis, modeling and testing methodologies to validate product designs and specifications.

  • Excellent written and verbal communication skills; mastery in English and local language. Ability to effectively communicate product architectures, design proposals and negotiate options at management levels.

Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to the use of arrest and conviction records, including the San Francisco Fair Chance Ordinance and similar laws and will consider for employment qualified applicants with criminal histories.