PS Data Analyst

HP•Houston, TX

About The Position

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.

Requirements

Strong understanding of data analysis methodologies, statistical concepts, and data validation techniques.
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.
Bachelor's, Master's or PHD degree in Mathematics, Economics, Physics, Computer Science, or equivalent.
4-6 years’ experience including graduate or postgraduate research.

Responsibilities

Participates as a 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 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.

Benefits

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