BI Data Engineer

Description -

Job Summary
• This role is responsible for analyzing and interpreting complex data sets using statistical techniques to identify trends, patterns, and insights that can be used to form business decisions and improve organizational performance. The role designs and develops methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions. The role develops programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.

Responsibilities
• Oversees data mining using modern tools and programming languages.
• Develops predictive and prescriptive models of moderate complexity to surface insights; drives action, defines success measures and tracks performance of models.
• Drives the implementation of models to uncover patterns and predictions creating business value and innovation.
• Partners with data engineering teams across multiple business lines to build data pipelines, improve data assets, quality, metrics, and insights.
• Creates visualizations and other forms of communication that effectively showcase insights and findings to both technical and non-technical audiences.
• Leads end to end AI projects in a proactive way, from the business request gathering until the development.
• Collaborates and communicates with project team regarding project progress and issue resolution.
• Represents the data science team for all phases of larger and more-complex development projects.
• Identifies and recommends improvement upon existing methodologies by developing new data sources, testing model assumptions, and fine-tuning model parameters.
• Maintains proficiency within the data science domain by keeping up with technology and trend shifts.

Education & Experience Recommended
• Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 4-7 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field or an advanced degree with 3-5 years of work experience.

Preferred Certifications
• Programming Language/s Certification (SQL, Python, or similar)

 

Knowledge & Skills
• Python (Programming Language)
• SQL (Programming Language)

• SSIS (SQL Server Integration Services)
• R (Programming Language)

• Algorithms
• Machine Learning
• Deep Learning
• Natural Language Processing
• Predictive Modeling
• Statistical Modeling
• Power BI (Business Intelligence Software)

• DAX (Programming Language)

• Power Automate
• Statistics
• Amazon Web Services
• Apache Spark
• Artificial Intelligence
• Computer Science
• Data Analysis
• Data Mining
• Data Science
• Data Visualization
• Big Data

 

Cross-Org Skills
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity
• Problems solving

Impact & Scope
• Impacts multiple teams and may act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process.

Job -

Software

Schedule -

Full time

Shift -

No shift premium (Spain)

Travel -

Relocation -

Equal Opportunity Employer (EEO) - 

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement