Business Intelligence Engineer, AI Analytics & Operations

Spare-It • Jersey City, NJ

6h • Hybrid

About The Position

Spare-it is hiring a Business Intelligence Engineer to build and maintain data systems that support operations and customer deployments. The role designs dashboards, connects data sources, automates routine work, and uses AI tools such as Claude to turn data into decisions. It combines analytics work with hands-on responsibilities involving scales, digital signage devices, and hardware shipments. The position is based in Jersey City, New Jersey, with a hybrid schedule that is typically two to four days onsite per week.

The role spans business intelligence and analytics, AI and automation, and operations and hardware. It involves building reporting tools, combining and validating data across systems, analyzing operational and product questions, monitoring device health, supporting customer deployments, managing equipment and shipments, and helping define processes and KPIs. The position reports to the VP of Global Operations.

Requirements

• Bachelor’s degree in computer science, data science, business analytics, or a related field, or equivalent work experience.
• At least 2 years of experience in data analysis, business analytics, or operations.
• Proficiency in SQL for querying and transforming data.
• Experience with a data visualization platform such as AWS QuickSight, Tableau, Power BI, or Looker.
• Experience with Python or similar scripting for data work and automation.
• Experience investigating data anomalies, tracking issues, and coordinating resolution across teams.
• Familiarity with large language models and their applications to analytics and automation.
• Strong organizational and project management skills.
• Authorized to work in the United States without sponsorship.

Nice To Haves

• Experience with cloud platforms, preferably AWS, such as Athena, S3, or Lambda.
• Experience with business systems such as HubSpot.
• Experience with device setup or management, such as mobile device management, digital signage, or IoT hardware.
• Ability to lift and move up to 75 pounds and handle shipping and receiving.
• Valid driver’s license and ability to travel locally occasionally, up to 10 to 15%, for site visits.

Responsibilities

• Design, build, and maintain dashboards and reporting tools in AWS QuickSight to provide visibility into data quality, device health, and customer deployments.
• Connect and combine data from the Spare-it platform, HubSpot, and cloud data storage into reliable, documented datasets.
• Analyze operational and product questions, including device behavior, and recommend threshold or process changes.
• Validate data accuracy and consistency across systems and document how the data works.
• Use Claude and other AI tools to accelerate analysis, identify anomalies and patterns, and generate insights.
• Build automations and workflows to replace manual reporting and routine operational tasks.
• Evaluate emerging AI and analytics tools and recommend useful applications.
• Monitor customer data streams and device health, and escalate root causes to R&D.
• Evaluate and connect deployed scales, run accuracy checks, and troubleshoot problems.
• Set up, configure, and manage digital signage devices and content for customer sites.
• Manage hardware inventory, receiving, and domestic and international shipments, and prepare equipment for deployment.
• Support customer deployments and maintenance with data-driven action plans, including occasional local site visits.
• Help define processes and KPIs and report on the health of US projects.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• 401(k) plan
• Generous paid time off, increasing with tenure
• Hybrid flexibility
• Professional development support for credentials aligned with sustainability, waste, IoT, or SaaS
• Purpose-driven, innovative team in the sustainability sector

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level