**Job Summary**
This role is responsible for data collection procedures, including accurate and relevant data for machine learning models, extracting and analyzing data from the primary and secondary database for the Amplify Online Program WW across Commercial, Retail and Distribution. The role conceptualizes, designs and develops analytics models in addressing complex business problems, discovering insights and identifying opportunities that are of value to internal and external business stakeholders, typically using a hypothesis-driven approach. The role implements data quality checks, validation, and data governance processes to ensure accuracy, completeness, and reliability of data.
**Responsibilities**
- Designs limited enhancements, updates, and programming changes for portions and subsystems of data pipelines, repositories or models for structured/unstructured data.
- Analyzes design and determines coding, programming, and integration activities required based on specific objectives and established project guidelines.
- Participates as a member of a project team of other data science professionals to develop reliable, cost effective and high-quality solutions for assigned data system, model, or component.
- Collaborates and communicates with project team regarding project progress and issue resolution.
- Works with business stakeholders to identify business problems, opportunities and/or initiatives for which analytics models may provide insights that can contribute to or drive the development of an approach.
- Translates data into information and insights with clear scenario analysis and business impact and execution plan to drive impact.
- Models and frames business scenarios that are meaningful and impact critical business processes and/or decisions.
- Performs quantification and impact analysis of existing or proposed operational policies, procedures and governance frameworks.
**Education & Experience** Recommended**
- Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/ Mathematics, or any other related discipline or commensurate work experience or demonstrated competence.
- Typically has 2-4 years of work experience, preferably in data analytics, data engineering, data modeling, or a related field or an advanced degree with little or no work experience.
**Preferred Certifications**
- Programming Language/s Certification (SQL, Python, or similar)
**Knowledge & Skills**
- Agile Methodology
- Amazon Web Services
- Databricks
- Apache Hadoop
- Apache Kafka
- Apache Spark
- Big Data
- Computer Science
- Data Analysis
- Data Engineering
- Data Modeling
- Data Pipelines
- Data Warehousing
- Extract Transform Load (ETL)
- Machine Learning
- Microsoft Azure
- Python (Programming Language)
- Power BI
- Scala (Programming Language)
- Scalability
- SQL (Programming Language)
**Cross-Org Skills**
- Effective Communication
- Results Orientation
- Learning Agility
- Digital Fluency
- Customer Centricity
**What we offer**:
- Opportunity to work in an international organization with colleagues coming from all over the world.
- Diverse, continued internal growth and career opportunities. Including HP’s own learning platform and LinkedIn Learning.
- An attractive benefits package:
- Health & Life insurance
- Lunch at reduced prices at our canteen/ ticket restaurant vouchers
- HP product discount
- Work life balance / flexible working hours.
- Women, Pride, Young employees, Sustainability and DisAbility! Just a few of our fantastic general business networks you can get involved with locally.
- We also dedicate time and resources to contribute with our community through Corporate Volunteering activities, including our onsite HP Charity day.
- Do you like to give back to the community? Then join one of our many volunteering teams or be a part of the incredible HP charity day held on site annually.
- Love sports? Then take advantage of our sports center (indoor and outdoor) with 25+ regular coordinated activities.
- We have an onsite Doctor and medical team for our employees, including services such as: nutrition, physiotherapy, and general health.
- Printing Happy hour - from photographs to large posters. And Hands-on workshops to print with the latest technology - from wall covers to 3D printed models.
- Dedicated lactation room.
- Our Women Network organizes activities such as Networking, the promotion of STEM vocations, talks on, improving business acumen, work life balance and skills of the future, etc.
Sales and Services Entity (ES11)