Print Analytics & Data Quality Lead

Hewlett Packard Enterprise; Vancouver (WA); On-site; USD 105,050 - 161,800; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Employee assistance program

Flexible spending account

Life insurance

Parental leave

Holidays & vacation

Job summary

Hewlett Packard Enterprise is seeking a highly analytical Data Analyst to support the Print Supplies business. You will own monthly validation, partner with data engineers and forecasting teams, and automate data quality checks to ensure pipeline integrity.

The role requires strong SQL and Python skills, experience with Power BI or similar tools, and the ability to communicate insights to stakeholders across organizations. Collaborative and mentoring capabilities are valued.

Qualifications

• Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or related discipline.
• Typically 7-10 years of work experience in data analytics or related field.

Responsibilities

• Own and support monthly validation processes for telemetry outputs and dashboards.
• Partner with Forecasting and stakeholders to answer usage, share, and release questions.
• Develop automated data quality checks and reproducible validation processes.
• Conduct root-cause analysis on data discrepancies across sources and processing layers.
• Provide support for quick-turn ad hoc requests and deep-dive investigations.
• Collaborate with BI, data engineering, and business intelligence teams to improve outputs.
• Mentor junior staff and contribute to complex projects using independent judgment.
• Maintain documentation for code, processes, and data lineage.

Skills

Power BI

SQL

Python

Databricks

Time-series

Forecasting

Data quality

Documentation

Education

Bachelor's degree in Mathematics/Statistics

Graduate degree preferred

Tools

Jira

Confluence

Job description

Hewlett Packard Enterprise is seeking a highly analytical Data Analyst to support the Print Supplies business. You will own monthly validation, partner with data engineers and forecasting teams, and automate data quality checks to ensure pipeline integrity.

The role requires strong SQL and Python skills, experience with Power BI or similar tools, and the ability to communicate insights to stakeholders across organizations. Collaborative and mentoring capabilities are valued.