Instant Services Analyst

Hewlett-Packard Company; Boise (ID); On-site; USD 90,000 - 115,000; Full time

Job summary

Hewlett-Packard Company in Boise, Idaho, seeks a senior data science engineer to lead data collection and analysis. You will work on complex projects, generating insights that improve business decisions.

The ideal candidate has strong programming skills in SQL and Python, along with significant experience in data analytics and a relevant degree. Join our team to innovate and contribute to critical data-driven insights across the company.

Qualifications

• Typically has 7-10 years of experience in data analytics or related field.
• Certification in SQL, Python, or similar programming languages preferred.
• In-depth knowledge of Agile Methodology and Data Management techniques.

Responsibilities

• Leads data science projects for new insights and technologies.
• Collaborates with partners for experiments and validations.
• Guides less-experienced staff members with mentorship.

Skills

Agile Methodology

Data Analysis

Machine Learning

SQL

Python

Power BI

Data Visualization

Education

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

Tools

SQL

Python

R

Tableau

SAS

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.