Data Analyst / Scientist
This role has been designated as 'Edge', which means you will primarily work outside of an HPE office.
Hewlett Packard Enterprise advances the way people live and work.
We bring together the brightest minds to create breakthrough technology solutions, helping our customers make their mark on the world.
Aruba is redefining the "IT EDGE".
Creating new customer experiences by building intelligent spaces and digital workspaces.
We are focused on campus, branch, mobility and the IoT to transform business models with the combined power of compute, context, control and secure connectivity.
Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making.
Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights).
**Data Analyst / Scientist**
**How you'll make your mark**:
- Participates in the analysis and validation of data sets/solutions/user experience.
- Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives.
May load data into the infrastructure and contributes to the creation of the hypothesis matrix.
Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses.
- Contributes to building models for the overall solution, validates results and performance.
Contributes to the selection of the model that supports the overall solution.
- Supports the research, identification and delivery of data science solutions to problems.
- Supports visualization of the model's insights,



user experience and configuration tools for the analytics model.
**About you**:
- Bachelor ́s degree in Statistics, Operations Research, Computer Science or equivalent.
- 1- 2 years of experience in data science methodologies.
- Basic understanding of business requirements and data science objectives.
- Basic data mapping, data transfer and data migration skills.
Basic understanding of analytics software (SAP).
- Basic knowledge of machine learning, data integration, and modeling skills.
- Basic communication and presentation skills.
- Basic knowledge of data visualization techniques.
- Advanced Excel
- Advanced English
Join us and make your mark!
**We offer**:
- A competitive salary and extensive social benefits
- Diverse and dynamic work environment
- Work-life balance and support for career development
- An amazing life inside the element!
Want to know more about it?
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT and Affirmative Action employer.
We are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills.
We do not discriminate and all decisions we make are made on the basis of qualifications, merit, and business need.
Our goal is to be one general diverse team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.
Then let's stay connected!
Aruba
**Job**:
Engineering
**Job Level**:
Entry
**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.

📌 Data Analyst / Scientist (Guadalajara)
🏢 Hewlett Packard Enterprise
📍 Guadalajara