Job description

PS Data Analyst Description - We are looking for a Data Analyst who applies developed subject matter expertise to solve both common and complex business challenges within established guidelines. This role recommends data-driven solutions, works across diverse datasets, and contributes to impactful decision-making. The ideal candidate demonstrates strong analytical thinking, exercises independent judgment within defined policies, and effectively navigates ambiguous or unique situations. This role may act as a team or project lead, guiding activities, supporting decision-making, and validating insights across stakeholders. Responsibilities Participates as a member of team of other data analysts carrying out the investigation, design, development, execution, and implementation of data science projects to generate new insights, products, technologies, and intellectual property. Creates plans, data collection and analysis procedures and data insight visualizations for assigned projects. 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. Provides guidance and mentoring to less- experienced staff members. Knowledge & Skills Strong understanding of data analysis methodologies, statistical concepts, and data validation techniques. Strong Project Management Skills. Proficiency in Python for data analysis. Experience with data visualization tools such as Tableau to build dashboards and communicate insights effectively. Foundational knowledge of AI, including the ability to use AI-enabled tools to enhance data analysis. Strong analytical and problem-solving skills with attention to detail. Ability to work with structured and unstructured data from multiple sources. Excellent communication skills, with the ability to present complex findings clearly to both technical and non-technical audiences. Ability to influence stakeholders and support data-driven decision-making at different organizational levels. Scope & Impact Collaborates with peers, junior data scientists and engineers, SMEs and external and internal research and product development partners. Typically interacts with high-level Individual Contributors, Managers and Program Core Teams. Participates in projects requiring data science engineering. Education & Experience Bachelor s, Master s or PHD degree in Mathematics, Economics, Physics, Computer Science, or equivalent. 4-6 years’ experience including graduate or postgraduate research. The pay range for this role is $83,000 to $127,800 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Data & Information Technology Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - No 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. For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal

Requirements

Must-haves

PS Data Analyst
Description -
Creates plans, data collection and analysis procedures and data insight visualizations for assigned projects.
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.
Provides guidance and mentoring to less- experienced staff members.
Knowledge & Skills
Strong understanding of data analysis methodologies, statistical concepts, and data validation techniques.
Strong Project Management Skills.
Proficiency in Python for data analysis.
Experience with data visualization tools such as Tableau to build dashboards and communicate insights effectively.
Foundational knowledge of AI, including the ability to use AI-enabled tools to enhance data analysis.
Strong analytical and problem-solving skills with attention to detail.
Ability to work with structured and unstructured data from multiple sources.
Excellent communication skills, with the ability to present complex findings clearly to both technical and non-technical audiences.
Ability to influence stakeholders and support data-driven decision-making at different organizational levels.
Scope & Impact
Collaborates with peers, junior data scientists and engineers, SMEs and external and internal research and product development partners.
Typically interacts with high-level Individual Contributors, Managers and Program Core Teams.
Participates in projects requiring data science engineering.
Education & Experience
Bachelor s, Master s or PHD degree in Mathematics, Economics, Physics, Computer Science, or equivalent.
4-6 years’ experience including graduate or postgraduate research.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

pythonai

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

Parental Leave