Print Supplies Big Data Analyst

Role Overview

We are seeking a highly analytical, business-oriented Data Analyst to support the Print Supplies business. This position sits at the intersection of analytics, data quality, product data stewardship, monthly reporting operations, and forecasting enablement.

What You Will Do

Own and support monthly validation processes, serve as a key analytical partner, develop and maintain automated processes, conduct root-cause analysis, provide consultative support, and collaborate with partners to improve transparency and maintainability of analytics outputs.

Why It Might Be a Fit

The ideal candidate will have 7-10 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field, and will possess strong documentation habits, effective communication skills, and a results-oriented approach.

Requirements

• Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 7-10 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field.
• Analytics and problem solving: exploratory analysis, root-cause analysis, metric design, data validation, anomaly detection, and ability to diagnose complex data issues across multiple factors.
• Data quality and governance: profiling, anomaly detection, metric validation, documentation, data lineage, privacy awareness, and the ability to communicate quality risks and remediation paths.
• Business intelligence and visualization: experience with Power BI, Qlik, advanced Excel, or similar tools to build stakeholder-ready dashboards, analyses, and presentations.
• Python for data analysis, validation, automation, time-series analysis, reproducible workflows, and tooling to support recurring quality checks and investigations.
• SQL, including complex joins, CTEs, window functions, query performance optimization.
• Databricks and modern analytics tooling: ability to work in notebooks, queries, dashboard-supporting datasets, and AI-assisted development environments while maintaining reproducible and reviewable outputs.
• Forecasting and time-series: ability to support forecasting partners, interpret restatements and metric volatility, and contribute to forecasting automation or time-series analysis workflows.
• Applied statistics: sampling, confidence intervals, and basic experiment/pre-post evaluation (role-dependent).
• Strong documentation habits for code and process development, data analyses and investigations, data lineage, and stakeholder guidance. Familiar with version control (e.g., Git), Jira, and Confluence.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including 4-12 weeks fully paid parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave

Tagged as: Data Analysis, Excel, Forecasting, Power BI, Python, SQL