North America Pursuit Data Analyst & Business Planner

Overview

This role is responsible for collecting, analyzing, interpreting, and presenting data to support decision-making and provide insights to the organization. The role works with large datasets to identify trends, patterns, and correlations, helping businesses make informed choices and optimize their operations. The role utilizes various tools, techniques, and analytical skills to extract meaningful information from data and communicate their findings to non-technical stakeholders.

• 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.
• Uses statistical tools and techniques to identify process gaps, root cause issues, and drive data driven decision making.
• Develops and applies a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights.
• In accordance with plan and team guidance, performs/executes data collection and analysis procedures and data insight visualizations for assigned projects.
• Assists the team in performing experiments and validations in accordance with overall plan.
• Collects, records, and analyzes data using established protocols and processes; communicates findings to other team members for review and feedback.
• Assists in preparation of literature and presentations for peer review, publication, and delivery at industry and scientific events and conferences; creates patent applications and supporting documentation.
• Applies foundational principles and contributes proactively to projects through research and data analysis support, providing regular updates on accomplishments and impediments.
• Supports priority projects with direction, maintaining relationships with internal stakeholders and sharing information via standardized reports.

• Four-year Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 1-5 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field.

• SQL, Python, or similar

• 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)

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

Candidate must sit within the Houston, TX Metro area. This role is on site.

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.

The pay range for this role is $59,350 to $89,600 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.

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)

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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.