North America Pursuit Data Analyst & Business Planner

North America Pursuit Data Analyst & Business Planner

Description -

Job Summary

This role combines data analytics with business planning support to help drive informed decision-making and operational efficiency. This individual will collect, analyze, interpret, and present data to identify trends, risks, and opportunities, while supporting key business processes such as forecasting, performance tracking, and reporting.

Working with large datasets, this role applies analytical techniques and tools to extract meaningful insights and translate them into actionable recommendations for both technical and non-technical stakeholders.

Location

Candidate must sit within the Houston, TX metro area. This role is onsite in Spring TX.


Responsibilities

• Analyze data to identify trends, patterns, and insights that support business and operational decision-making
• Assist in translating analytical findings into business recommendations and reporting outputs
• Support business planning activities, including forecasting, performance tracking, and KPI reporting
• Build and maintain dashboards and visualizations to communicate insights effectively
• Use statistical tools and techniques to help identify process gaps, root causes, and improvement opportunities
• Apply foundational concepts from statistics, machine learning, and business intelligence to support analytics initiatives
• Perform data collection, validation, and analysis following established processes and team guidance
• Support scenario analysis and modeling to inform planning and business decisions
• Collaborate with team members on data science and analytics projects, including experiments and validations
• Ensure data accuracy, quality, and consistency across reports and dashboards
• Communicate findings through structured presentations and reports tailored to diverse audiences
• Support stakeholder engagement by providing updates, maintaining relationships, and delivering standardized reporting

Education & Experience Recommended

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

Data Tools & Languages

• M (Power Query) or experience with Power Query for data transformation
• DAX (Data Analysis Expressions) for data modeling and reporting
• SQL, Python, or similar

Knowledge & Skills

• Microsoft Excel (data analysis, pivot tables, complex formulas)
• Microsoft PowerPoint (data storytelling, executive-ready presentations)
• Agile Methodology
• Business Intelligence (Power BI, Tableau)
• Data Analysis and Data Visualization
• Data Management, Data Modeling, and Data Quality
• Data Warehousing and ETL processes
• Foundational Machine Learning and Statistics
• SQL, Python, R, or similar languages
• Dashboard development and reporting
• Basic understanding of business metrics, forecasting, and performance tracking

Cross-Organizational Skills

• Effective Communication and data storytelling
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer and business-centric mindset

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.

Salary:

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.

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
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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.

Job -
Data & Information Technology

Schedule -
Full time

Shift -
No shift premium (United States of America)

Travel -
Not Specified

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"