4 дня назад
Print Supplies Big Data Analyst
105 050 - 161 800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Print Supplies Big Data Analyst (Python/SQL/Databricks): Supporting print supplies analytics through telemetry validation, data quality governance, reporting operations, and forecasting enablement with an accent on root-cause analysis, metric validation, and automated verification. Focus on diagnosing discrepancies across data sources and processing layers, building reproducible quality-check workflows, and enabling reliable stakeholder reporting.
Location: Vancouver, Washington, United States of America
Salary: $105,050–$161,800 USD annually, with additional bonus and/or equity opportunities for United States candidates.
Company
is a corporation operating across technology and print-related products and services.
What you will do
- Own monthly validation processes for print telemetry outputs, dashboard semantic layers, and usage/share reporting handoffs.
- Partner with forecasting teams and business stakeholders on usage, share, installed base, product readiness, and release approval analyses.
- Build and maintain automated processes for recurring validation, issue diagnosis, data quality checks, and decision support.
- Conduct root-cause analysis of discrepancies across sources, tables, dashboards, definitions, filters, platform coverage, and reporting timing.
- Support ad hoc requests, escalations, and deep-dive investigations while coordinating intake and prioritization.
- Collaborate with dashboard, data engineering, and business intelligence partners to improve analytics transparency and maintainability.
Requirements
- Four-year or graduate degree in Mathematics, Statistics, Economics, Computer Science, or a related discipline, or equivalent experience.
- Typically 7–10 years of experience in data analytics, database management, statistical analysis, or a related field.
- Strong skills in exploratory analysis, root-cause analysis, metric design, data validation, anomaly detection, data lineage, and governance.
- Experience with Python, SQL, complex joins, CTEs, window functions, query optimization, and reproducible analytical workflows.
- Experience with Databricks and business intelligence tools such as Power BI, Qlik, or advanced Excel.
- Knowledge of forecasting, time-series analysis, applied statistics, documentation, Git, Jira, and Confluence.
Culture & Benefits
- Full-time employment with health, dental, and vision insurance.
- Long- and short-term disability, life insurance, employee assistance, and flexible spending benefits.
- 4–12 weeks of fully paid parental leave based on tenure.
- 11 paid holidays plus flexible paid vacation and sick leave.
- Opportunity to mentor less-experienced staff and contribute to cross-functional initiatives.
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