Technical Operations Analyst, BI & Automation

Spare-It • Jersey City, NJ

7d • Hybrid

About The Position

Spare-it is hiring a technically capable, resourceful generalist to work across technical operations, data analytics, IoT hardware, and process automation. The role combines desk-based analysis with hands-on work, such as building dashboards, automating workflows, troubleshooting smart scales, investigating data anomalies, configuring digital signage devices, and preparing equipment for customer deployments. The analyst will work closely with operations, customer success, and engineering to keep technology and customer deployments running reliably. Regular onsite work in Jersey City, typically 2–4 days per week, and occasional visits to customer locations are required.

The position covers monitoring and maintaining deployed IoT systems; preparing, testing, and managing equipment; supporting deployments; and improving operational processes. It also involves building BI dashboards and reports, writing SQL queries, connecting data across systems, investigating data quality issues, analyzing operational and product data, and developing KPIs. The analyst will use AI tools and scripting to investigate problems and automate repetitive workflows, and will evaluate and implement useful technologies. The role suits someone who is detail-oriented, resourceful, accountable, comfortable learning unfamiliar systems, and willing to contribute across a small company's varied responsibilities.

Spare-it is a clean-tech SaaS and IoT company that helps organizations measure, report, and reduce in-building waste. It provides smart scales, software, and sustainability expertise to enterprise customers. The company is headquartered in Boston and operates across North America, Europe, and Southeast Asia.

Requirements

• Bachelor's degree in computer science, data science, information systems, engineering, business analytics, or a related field, or equivalent practical experience.
• At least 2 years of professional experience in technical operations, data analytics, business intelligence, IT systems, or a related technical role.
• Proficiency in SQL, including writing queries, joining datasets, and investigating data quality issues.
• Experience building dashboards or reports using AWS QuickSight, Power BI, Tableau, Looker, or similar tools.
• Working knowledge of Python or another scripting language for data analysis or automation.
• Demonstrated ability to independently troubleshoot technical problems and investigate root causes.
• Willingness to perform regular hands-on work with physical equipment, including device setup, testing, inventory, and shipments.
• Ability to work onsite in Jersey City approximately 2–4 days per week.
• Strong written and verbal communication skills.
• Authorization to work in the United States without current or future employer visa sponsorship.

Nice To Haves

• Experience with AWS services such as Athena, S3, or Lambda.
• Experience with HubSpot or other CRM/business systems.
• Experience with IoT devices, hardware troubleshooting, digital signage, mobile device management, or device connectivity.
• Experience developing automations using Python, APIs, AI tools, or workflow automation platforms.
• Familiarity with Claude or other large language models for technical problem-solving and productivity.
• Experience working in a startup, SaaS company, or technical operations environment.
• Interest in sustainability, circular economy, or environmental technology.
• Ability to lift and move equipment weighing up to 75 pounds, with or without reasonable accommodation.
• Valid driver's license and ability to travel occasionally to local customer sites (approximately 10–15%).

Responsibilities

• Monitor the health and performance of deployed IoT devices, including smart scales, gateways, and digital signage.
• Investigate technical issues, troubleshoot hardware and connectivity problems, and coordinate with engineering when needed.
• Configure, test, and prepare devices for customer deployments, including validating scale accuracy and device connectivity.
• Manage hardware inventory, receiving, shipping, and equipment preparation for domestic and international deployments.
• Support customer deployments and maintenance activities, including occasional local site visits.
• Develop and improve operational processes, documentation, and quality-control procedures.
• Monitor project health and identify issues before they affect customers.
• Build and maintain dashboards and reporting tools using AWS QuickSight or similar BI platforms.
• Write SQL queries to investigate operational problems, analyze device performance, and monitor data quality.
• Connect and combine data from multiple systems, including the SaaS platform, HubSpot, and cloud data sources.
• Identify data inconsistencies, investigate root causes, and work with colleagues to resolve them.
• Analyze operational and product data to recommend improvements to processes, thresholds, and system performance.
• Develop meaningful KPIs and reporting to support better team decisions.
• Use AI tools such as Claude to accelerate analysis, investigate problems, and improve workflows.
• Build practical automations using Python, AI tools, and other technologies to reduce repetitive work.
• Identify opportunities to improve operational efficiency and reliability.
• Experiment with new tools and technologies, evaluate their usefulness, and implement solutions where they add value.

Benefits

• Health, dental, and vision insurance.
• 401(k) plan.
• Generous paid time off, increasing with tenure.
• Hybrid work flexibility.
• Professional development support for credentials aligned with sustainability, waste, IoT, or SaaS.
• Opportunity to work across multiple technologies and make a direct impact in a small, mission-driven company.

What This Job Offers

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