Big Data Laser Analyst (Print Telemetry/Data Analytics): Translating laser printer telemetry into trusted metrics, dashboards, and business insights with an accent on KPI design, data quality, and cross-platform interpretation. Focus on investigating pipeline issues, building measurement frameworks, and communicating complex analytical findings to leadership and partner teams.
Location: Vancouver, Washington, United States of America
Salary: $83,000–$127,800 USD annually, with additional bonus and/or equity opportunities for candidates in the United States.
Company
hirify.global develops printing, computing, and technology products and services, with this role supporting the Print Supplies organization.
What you will do
Own laser printer telemetry insights from problem framing and metric definition through analysis, visualization, and recommendations.
Translate business questions into analytical requirements, KPIs, reusable queries, datasets, and stakeholder-ready reports.
Investigate data completeness, accuracy, and timeliness issues across pipelines and sources, including root-cause analysis and remediation guidance.
Align telemetry instrumentation, data collection methods, and platform differences with internal and external partners.
Design measurement frameworks for adoption, usage, retention, share, and funnel or driver analysis, including experiment and pre/post evaluation where applicable.
Document dashboards and metric definitions, enable self-service analytics, mentor less-experienced staff, and lead moderately to highly complex projects.
Requirements
Four-year or graduate degree in mathematics, statistics, economics, computer science, or a related discipline, or equivalent demonstrated competence.
Typically 4–7 years of experience in data analytics, database management, statistical analysis, or a related field; an advanced degree may be combined with 3–5 years of experience.
Advanced SQL skills, including complex joins, CTEs, window functions, and query performance optimization.
Python and/or PySpark for analysis, data validation, and automation; familiarity with Databricks and VSCode is expected.
Experience with exploratory and root-cause analysis, KPI design, applied statistics, data governance, dashboarding, and visualization using tools such as Power BI, Tableau, or Qlik.
Strong communication, documentation, data lineage, stakeholder collaboration, and business-context interpretation skills.
Nice to have
Programming language certification in SQL, Python, or a similar technology.
Familiarity with Git, Jira, and Confluence.
Experience with AI-assisted development while maintaining reproducible and reviewable outputs.
Culture & Benefits
Health, dental, and vision insurance.
Short-term and long-term disability, life insurance, employee assistance, and flexible spending accounts.
Four to twelve weeks of fully paid parental leave based on tenure.
Eleven paid holidays plus flexible paid vacation and sick leave.
Cross-functional collaboration across technical and non-technical teams.
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