Instant Services Analyst

Hewlett-Packard Company; Vancouver (WA); On-site; USD 95,000 - 125,000; Full time

Job summary

Hewlett-Packard Company is seeking a Data Science Engineer responsible for leading data collection, analysis, and reporting in Vancouver, Washington. The candidate should have a strong background in data analytics with 7-10 years of experience, proficiency in Python and SQL, and a strong emphasis on data integrity and insights.

This role collaborates across departments to provide actionable recommendations and transform complex data into understandable formats for various audiences. The position requires a graduate degree in a related field.

Qualifications

• Typically has 7-10 years of work experience, preferably in data analytics, database management, or a related field.
• Programming Language/s Certification (SQL, Python, or similar) is preferred.

Responsibilities

• Lead the collection, cleaning, preprocessing, and analysis of large datasets.
• Generate regular reports and ad‑hoc analysis highlighting key metrics.
• Collaborate with internal and external partners to perform experiments and validations.

Skills

Agile Methodology

Business Intelligence

Data Analysis

Data Management

Data Science

Machine Learning

Python

SQL

Statistics

Power BI

Tableau

Education

Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or related discipline

Tools

SAS

R

ETL

Job description

This role is responsible for leading the collection, cleaning, preprocessing, and analysis of large datasets to derive meaningful insights. The role generates regular reports and ad‑hoc analysis, highlighting key metrics and insights that inform business decisions. The role translates complex data into actionable recommendations for various departments, such as marketing, operations, or finance. The role ensures data accuracy, integrity, and consistency across all analyses and reports.

Responsibilities

• Participates as a senior member of team of other data science engineers carrying out the investigation, design, development, execution, and implementation of data science projects to generate new insights, products, technologies, and intellectual property.
• Creates extensive plans, data collection and analysis procedures and data insight visualizations for assigned projects.
• Reviews and assesses existing reporting suite with a view of modernization through automation and process improvement.
• Collaborates with internal and external partners to perform experiments and validations in accordance with overall plan.
• Collaborates with SMEs to develop procedures for collecting, recording, analyzing, and communicating data for review and feedback.
• Prepares literature and presentations for peer review, publication, and delivery at industry and scientific events and conferences; creates patent applications and supporting documentation.
• Drives innovation and integration of new Data Science related technologies and practices into projects and activities in the R&D organizations.
• Provides guidance and mentoring to less- experienced staff members.
• Applies advanced subject matter knowledge, leads, and contributes to complex projects, and exercises independent judgment in resolving business issues and establishing policies.
• Develops and builds productive internal/external working relationships and may provide mentoring and guidance to lower-level employees.

Education & Experience Recommended

• Four‑year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 7-10 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field.

Preferred Certifications

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

Knowledge & Skills

• Agile Methodology
• Business Intelligence
• Computer Science
• Dashboard
• Data Analysis
• Data Management
• Data Modeling
• Data Quality
• Data Science
• Data Visualization
• Data Warehousing
• Extract Transform Load (ETL)
• Machine Learning
• Power BI
• Python (Programming Language)
• R (Programming Language)
• SAS (Software)
• SQL (Programming Language)
• Statistics
• Tableau (Business Intelligence Software)

Cross-Org Skills

• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Impact & Scope

• Impacts function and leads and/or provides expertise to functional project teams and may participate in cross‑functional initiatives.

Complexity

• Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.

Disclaimer

• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.