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обновлено 12 дней назад

Big Data Laser Analyst

83 000 - 127 800$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
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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