Analytics Engineer: Data Products & Self-Serve Insights

Staples; Framingham (MA); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Inclusive culture with BRGs

Flexible PTO and holidays

Discounts and 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 governable datasets and self-service analytics across the organization.

You will design data models, automate preparation workflows, validate quality, and deliver analytical assets for dashboards and AI-enabled initiatives, driving strategic decisions.

Qualifications

• 2+ years of experience in analytics engineering, BI, data analytics, data engineering, or related role.
• Proficiency writing complex SQL queries and developing data models on relational or cloud platforms.
• Experience integrating and transforming data from multiple sources while resolving data quality and business logic issues.
• Experience using data transformation tools such as Alteryx, Tableau Prep, Python, or similar technologies.
• Experience building, validating, and maintaining analytical datasets, reporting assets, or BI solutions.
• Experience conducting data validation, reconciliation, and QA activities.
• Ability to communicate analytical findings to non-technical stakeholders.
• Ability to manage multiple priorities and deliver high-quality results on time.

Responsibilities

• Design, develop, and maintain analytical data products, curated datasets, and data models to support reporting and decision-making.
• Integrate and transform data from multiple sources, reconciling differences in definitions and granularity.
• Build and maintain SQL-based data models and ETL workflows using Snowflake, Alteryx, Tableau Prep, Python, or similar tools.
• Define metrics, reporting requirements, and data governance standards with stakeholders.
• Validate data accuracy through testing, reconciliation, and QA processes.
• Investigate business questions, identify trends, validate assumptions, and provide actionable recommendations.
• Develop and maintain documentation for data models, transformations, and business logic.
• Modernize and automate reporting and data prep workflows to improve efficiency and scalability.
• Create and support analytical assets used by dashboards and self-service reporting.
• Present findings to technical and non-technical audiences using visualization and storytelling.
• Support AI-enabled analytics by validating data inputs/outputs against business rules.
• Collaborate with Pricing, Merchandising, Finance, Technology, Data Engineering, and Analytics teams to build scalable data solutions.

Skills

SQL proficiency

Data modeling

Data quality

Communication

Collaboration

Education

Bachelor's degree in Data Analytics

Tools

Snowflake

Tableau Prep

Python

Alteryx

Tableau

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 governable datasets and self-service analytics across the organization.

You will design data models, automate preparation workflows, validate quality, and deliver analytical assets for dashboards and AI-enabled initiatives, driving strategic decisions.