Analytics Engineer

Staples; Framingham (MA); Presencial; USD 110.000 - 150.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Inclusive culture with BRGs

Flexible PTO and holidays

Discounts and 401(k) match

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

SQL proficiency

Data modeling

Data quality

Communication

Collaboration

Educación

Bachelor's degree in Data Analytics

Herramientas

Snowflake

Tableau Prep

Python

Alteryx

Tableau

Descripción del empleo

At Staples, our technology and data teams play a critical role in helping customers work smarter every day. We're looking for an Analytics Engineer who is passionate about transforming complex business data into trusted, scalable insights that drive decision-making across the organization. In this role, you'll partner closely with Pricing, Merchandising, Finance, Revenue Management, and Analytics teams to build modern data solutions that improve visibility, optimize performance, and support strategic business initiatives. If you enjoy solving complex problems, working with large datasets, and creating analytical products that make a measurable impact, we'd love to hear from you.

The Analytics Engineer is responsible for designing, developing, and maintaining analytical data products that transform complex business data into trusted, scalable insights. This role serves as a critical bridge between business stakeholders and technical data teams by integrating data across multiple sources, defining metrics and business logic, building governed datasets, and enabling self-service reporting and analytics.

Working closely with Pricing, Merchandising, Finance, and Analytics partners, the Analytics Engineer develops data models, automates data preparation processes, validates data quality, and supports reporting and analytical solutions that drive business performance. This position combines technical data expertise with analytical problem-solving skills to deliver reliable information assets that support operational and strategic decision-making.

What You’ll Be Doing:

• Design, develop, and maintain analytical data products, curated datasets, and data models that support reporting, analysis, and business decision-making.
• Integrate and transform data from multiple internal and external sources while resolving differences in business definitions, data structures, and levels of detail.
• Build and maintain SQL-based data models and data transformation workflows using technologies such as Snowflake, Alteryx, Tableau Prep, Python, or similar platforms.
• Partner with business stakeholders to define key metrics, calculations, reporting requirements, and data governance standards.
• Validate data accuracy through testing, reconciliation, and quality assurance processes to ensure trusted analytical outputs.
• Investigate business questions, identify data trends and root causes, validate assumptions, and provide actionable recommendations.
• Develop and maintain documentation for data models, transformations, calculations, and business logic.
• Modernize and automate existing reporting and data preparation workflows to improve efficiency, scalability, and maintainability.
• Create and support analytical assets utilized by dashboards, self-service reporting tools, and downstream analytics solutions.
• Present findings, insights, and recommendations to technical and non-technical audiences using visualization and storytelling techniques.
• Support AI-enabled analytics initiatives by validating data inputs and outputs, ensuring alignment with underlying business rules and data structures.
• Collaborate with Pricing, Merchandising, Finance, Technology, Data Engineering, and Analytics teams to develop scalable data solutions that improve business performance and decision-making.

What You Bring To The Table:

• Analytical thinking and a passion for solving complex business problems through data.
• Curiosity to understand how data impacts business performance and customer outcomes.
• Strong attention to detail with a focus on data quality, accuracy, and governance.
• Excellent communication skills with the ability to translate technical concepts into business-friendly language.
• Strong collaboration and relationship-building skills across technical and non-technical teams.
• Ownership mentality with the ability to manage projects from concept through execution and support.
• Adaptability and willingness to learn new technologies, tools, and business processes.
• Ability to prioritize multiple initiatives in a fast-paced environment while delivering high-quality work.

What's Needed - Basic Qualifications:

• 2+ years of experience in analytics engineering, business intelligence, data analytics, data engineering, reporting, or a related analytical role.
• Demonstrated proficiency writing complex SQL queries and developing data models on relational or cloud-based data 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 business intelligence solutions.
• Experience conducting data validation, reconciliation, and quality assurance activities.
• Demonstrated ability to communicate analytical findings and recommendations to non-technical stakeholders.
• Ability to manage multiple priorities and deliver high-quality results within established timelines.

What's Needed - Preferred Qualifications:

• Bachelor's degree in Data Analytics, Information Systems, Computer Science, Data Science, Business Analytics, Finance, Mathematics, Statistics, or a related field.
• 4+ years of analytics engineering, business intelligence, reporting, or data analytics experience.
• Experience using Snowflake or another cloud-based data warehouse platform.
• Experience supporting Pricing, Merchandising, Revenue Management, Finance, or Retail business functions.
• Experience designing and implementing scalable data models for enterprise reporting and analytics.
• Experience automating reporting, data preparation, or analytical workflows.
• Experience developing data assets that support self-service analytics, dashboards, advanced analytics, or AI-enabled solutions.
• Experience utilizing Tableau or other enterprise business intelligence and visualization platforms.
• Experience contributing to data governance, metadata management, and documentation standards.
• Experience supporting modernization initiatives involving reporting, analytics, automation, and data-driven decision-making.

We Offer:

• Inclusive culture with associate-led Business Resource Groups
• Flexible PTO (22 days) and Holiday Schedule (7 observed paid holidays + 1 floating holiday)
• Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more!

The salary range represents the expected compensation for this role at the time of posting. The specific base pay may be influenced by a variety of factors to include the candidate's experience, skill set, education, geography, business considerations, and internal equity. In addition to base pay, this role may be eligible for bonuses, or other forms of variable compensation.