Analytics Engineer: Scalable Data Products (Flexible PTO)

Bureau en gros; Framingham (MA); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Inclusive culture

Flexible PTO

Holiday schedule

Company 401(k) match

Job summary

Staples is seeking an Analytics Engineer to transform complex business data into trusted, scalable insights. You will partner with Pricing, Merchandising, Finance, and Analytics teams to build data products that improve visibility and drive strategy.

You will design data models, automate data preparation, validate quality, and enable self-service analytics and reporting across the organization. On-site in Framingham, MA with a collaborative, data-driven culture.

Qualifications

• 2+ years of analytics engineering or related role.
• Proficient in writing complex SQL and building data models.
• Experience integrating data from multiple sources and ensuring data quality.
• Experience with data transformation tools such as Alteryx/Tableau Prep/Python.
• Experience delivering analytics datasets and BI assets.

Responsibilities

• Design and maintain analytical data products and models for reporting and decision-making.
• Integrate data from internal and external sources, align definitions and granularity.
• Develop SQL data models and transformation workflows (Snowflake, Python, etc).
• Define metrics, governance standards, and data requirements with stakeholders.
• Validate data accuracy through testing and QA processes.
• Document data models, transformations, and business logic.
• Modernize and automate reporting and data prep workflows.
• Support dashboards, self-service analytics, and AI-enabled solutions.
• Present findings to technical and non-technical audiences.

Skills

SQL proficiency

Data modeling

Analytical thinking

Communication

Problem solving

Collaboration

Education

Bachelor's degree in Data Analytics or related field

Tools

Snowflake

Alteryx

Tableau Prep

Python

Job description

Staples is seeking an Analytics Engineer to transform complex business data into trusted, scalable insights. You will partner with Pricing, Merchandising, Finance, and Analytics teams to build data products that improve visibility and drive strategy.

You will design data models, automate data preparation, validate quality, and enable self-service analytics and reporting across the organization. On-site in Framingham, MA with a collaborative, data-driven culture.