Business Intelligence Engineer - Newtown Square, PA

SUPPLYONE INC. • Newtown Township, PA

3d • Onsite

About The Position

The Business Intelligence Engineer is responsible for designing, building, and maintaining scalable data models, pipelines, and reporting solutions that enable data-driven decision making across the organization. The scope of work includes transforming raw data into structured, reliable datasets, developing KPI dashboards, and supporting business stakeholders with actionable insights. As a member of the Data and Analytics team, this role will work closely with the Director of Data and Analytics and cross-functional partners to deliver high-quality data products. This role requires strong problem-solving ability, curiosity, and a willingness to adopt modern data and AI-driven approaches to improve productivity and outcomes.

Requirements

• 2+ years of experience in business intelligence, analytics engineering, or similar role (or equivalent project-based experience)
• Strong proficiency in SQL (required)
• Experience with at least one of the following: Snowflake, dbt, Power BI, Postgres, or SQL Server
• Working knowledge of DAX
• Experience building dashboards and reporting solutions
• Understanding of core data modeling principles (facts, dimensions, data warehousing concepts)
• Experience working with data pipelines or ELT processes
• Must be able to commute to Newtown Square, PA 4–5 days per week
• Strong problem-solving mindset with the ability to work through ambiguous problems
• Ability to understand and operate within existing engineering standards and frameworks
• Curious and motivated to learn new tools, concepts, and data philosophies
• Effective collaborator who works well in a team environment
• Interest in leveraging AI to improve productivity and enhance data products

Nice To Haves

• Python
• TypeScript
• React.js or Node.js
• Experience integrating AI into workflows or data products

Responsibilities

• Collaborate with business stakeholders to understand data needs and translate them into technical solutions
• Design and implement scalable data models in a warehouse environment
• Build and maintain data transformations using SQL and tools such as dbt
• Develop and support dashboards and reporting solutions (Power BI)
• Debug and resolve data issues across pipelines, models, and reporting layers
• Contribute to data pipeline development and data quality improvements
• Participate in peer code reviews to ensure adherence to engineering standards
• Continuously improving existing data models and reporting logic for performance and usability
• Explore and apply AI tools (e.g., Abacus AI) to enhance productivity and data products
• Support the ongoing development and maintenance of the company’s data platform

Benefits

• Bonus based on company performance
• Medical, dental, and vision insurance
• 401(k) retirement savings plan with company match
• Paid time off (including vacation, company holidays, and parental leave)
• Employee Assistance Program (EAP)
• Other benefits such as life insurance, disability coverage, and wellness programs

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed