Data Analyst, Insights & Dashboards (Python)

HP; Spring (TX); On-site; USD 83,000 - 128,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Employee assistance program

Flexible spending account

Life insurance

Generous time off & parental leave

Holidays & flexible vacation

Job summary

HP is seeking a PS Data Analyst to apply subject matter expertise in solving business challenges within established guidelines. You will work with diverse datasets, develop data-driven solutions, and support decision-making across stakeholders.

The role may involve leading teams and mentoring junior staff. Ideal candidates have strong analytical thinking, independence within policies, and experience with data science projects, dashboards, and communicating insights to technical and non-technical

Qualifications

• Proficiency in data analysis methodologies and statistics.
• Strong communication and stakeholder management.
• Experience applying AI-enabled tools to enhance data work.

Responsibilities

• Lead data analysis projects and collaborations with teams.
• Develop data collection, analysis procedures and dashboards.
• Collaborate with partners to run experiments and validations.
• Mentor junior staff and guide project delivery.
• Prepare presentations and documentation for reviews and events.
• Provide guidance to ensure data-driven decision making.

Skills

Python

Data analysis

Statistics

Project management

Data validation

Communication

Stakeholder influence

Problem solving

Education

Bachelor's/Master's/PhD in STEM

Tools

Tableau

Job description

HP is seeking a PS Data Analyst to apply subject matter expertise in solving business challenges within established guidelines. You will work with diverse datasets, develop data-driven solutions, and support decision-making across stakeholders.

The role may involve leading teams and mentoring junior staff. Ideal candidates have strong analytical thinking, independence within policies, and experience with data science projects, dashboards, and communicating insights to technical and non-technical