North America Pursuit Data Analyst & Business Planner

HP•Houston, TX

20h•Onsite

About The Position

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.

Requirements

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 preferred
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

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.
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.