Analytics Engineer: Build Trusted Data Insights

Staples, Inc.; Framingham (MA); On-site; USD 100,000 - 160,000; Full time

Benefits offered by this job

Inclusive culture with associate-led B

Flexible PTO (22 days) and Holidays

Discounts and 401(k) company match

Job summary

Staples, Inc. is seeking an Analytics Engineer to transform complex business data into trusted, scalable insights. You will partner with Pricing, Merchandising, Finance, Revenue Management, and Analytics to build modern data solutions that drive decision-making across the organization.

The role designs data models, automates data preparation, validates data quality, and supports reporting and analytics that improve business performance.

Qualifications

• 2+ years in analytics engineering, BI, or data analytics.
• Proficient in writing complex SQL queries and data modeling.
• Experience integrating data from multiple sources and ensuring data quality.
• Experience with Alteryx, Tableau Prep, Python, or similar tools.
• Experience building and maintaining analytical datasets and BI solutions.
• Ability to present findings to non-technical stakeholders.

Responsibilities

• Design, develop, and maintain analytical data products and data models.
• Integrate and transform data from multiple sources.
• Build SQL-based data models and data transformation workflows.
• Define metrics, reporting requirements, and data governance standards.
• Validate data accuracy and perform quality assurance.
• Investigate business questions and provide actionable recommendations.
• Document data models, transformations, and business logic.
• Modernize and automate reporting and data preparation workflows.
• Support dashboards, self-service reporting, and AI-enabled analytics.

Skills

Analytical thinking

Communication

Attention to detail

Ownership mindset

Collaboration

Adaptability

Prioritization

Problem solving

Education

Bachelor's degree in a related field

Tools

Snowflake

Alteryx

Tableau Prep

Python

SQL

Job description

Staples, Inc. is seeking an Analytics Engineer to transform complex business data into trusted, scalable insights. You will partner with Pricing, Merchandising, Finance, Revenue Management, and Analytics to build modern data solutions that drive decision-making across the organization.

The role designs data models, automates data preparation, validates data quality, and supports reporting and analytics that improve business performance.