This role pays less than
55%
of similar roles. Most pay
$126,800–$185,487
— the shaded band above.
At the midpoint, this role pays about
$133k
versus about
$156k
for comparable roles.
Based on 240 similar postings.
Employer
About HP Inc.
HP Inc. is a global technology company that develops and sells personal computers, printers, and related supplies and services. Its products include laptops, desktops, workstations, and printing solutions for consumers and businesses worldwide.
HP Inc. currently has
104 open roles
on FindRole.
Listed pay typically runs
$130,700–$205,200
across 90 roles with salary data.
The Print Supplies Big Data Analyst joins a team focused on data quality, product data stewardship, and forecasting enablement. This role involves partnering with data engineers and scientists to ensure pipeline integrity, maintain business reference data, and automate verification processes. Key responsibilities include managing monthly validation for print telemetry outputs, performing root-cause analysis on data discrepancies across various layers, and providing analytical support for usage and installed base inquiries. The candidate will utilize Python for automation and time-series analysis, SQL for complex queries and performance optimization, and Databricks within modern analytics environments. Proficiency in Power BI, Qlik, and advanced Excel is required to build stakeholder-ready dashboards. The role addresses critical business problems regarding data consistency, reporting accuracy, and forecasting reliability within the print supplies domain while requiring expertise in statistical analysis and robust documentation practices.
Power BI
Tableau
Microsoft Fabric
Spark
PySpark
SQL
R
Python
Excel
Machine Learning
Agile
Microsoft 365
IoT
Data Visualization
Statistical Analysis
Automation
Snowflake
Tableau
Power BI
SQL
AI
Data Pipeline Engineering
Prompt Engineering
Data Analysis
Dashboards
Technical Documentation
Requirements Analysis
Data Structures
Snowflake
Tableau
Power BI
SQL
AI
Prompt Engineering
Data Pipeline Engineering
Data Analysis
Technical Documentation
Requirement Analysis
Data Structures
Dashboards