Business Intelligence Analyst

GridPoint; United States; Remote; USD 70,000 - 90,000; Full time

Job summary

GridPoint is seeking a Business Intelligence Analyst to design and build customer-facing dashboards using Sigma and AWS Quick Suite. This role involves data analysis, predictive insights, and ensuring data quality across platforms. The ideal candidate will have 2-4 years of experience in data analytics and strong SQL skills.

Collaboration with various departments will be key to translate reporting needs into actionable insights. If you excel in visualization and storytelling through data, this position offers a hands-on environment where your contributions directly impact business outcomes.

Qualifications

• 2-4 years of experience in data analytics or business intelligence.
• Hands on experience with BI/visualization platforms.
• Proficiency in SQL for querying data.

Responsibilities

• Design and build dashboards for customers and internal stakeholders.
• Apply data science techniques to surface insights.
• Ensure data accuracy and maintain governance practices.

Skills

Data analytics

Business intelligence

SQL

Data visualization

Communication skills

Tools

Sigma

AWS Quick Suite

Salesforce

Job description

About GridPoint

GridPoint is a rapidly growing, private equity backed, technology leader with a mission focused on accelerating the world’s transition to a sustainable future by creating an intelligent energy network of grid-interactive buildings. As pioneers in the smart grid, GridPoint has been innovating since 2003 to make buildings smarter, more efficient, more resilient, and more sustainable.

Founded in 2003, GridPoint’s platform is hard at work across thousands of buildings delivering energy, operational, and resiliency benefits. Networked together, GridPoint intelligent buildings provide the reliable, precise, and instantaneous capacity utilities and grid operators increasingly require.

By transforming the way commercial businesses of all types and sizes use energy, GridPoint unlocks the decarbonization, sustainability, and grid resiliency needed for a cleaner, more efficient tomorrow. GridPoint’s network of commercial buildings spans across Fortune 500 enterprises, utilities, government organizations, and small businesses.

GridPoint minimizes energy waste across 20,000+ buildings. To-date they have saved customers over $440M in energy costs, reduced over 5.7B kWh, and eliminated over 5.3B lbs of CO2e.

What makes us different

• Hardware enabled SaaS platform that is expandable to manage both traditional building assets (e.g., HVAC, Lighting, Refrigeration) and the future of additional grid-interactive assets (i.e., energy storage, EV charging).
• Serves “both sides of the meter” benefiting both customers in the building and grid participants.
• Advanced Analytics and Intelligence with data driven approach to manage savings and proactively monitor the health of assets.
• Ability to manage multiple distributed energy resources for market participation (e.g., battery storage, generation, HVAC).
• Focused on multiple industry market needs with a specific focus on mid-market commercial buildings and under-served SMBs.
• Ability to execute at the majority of unaddressed buildings (i.e., 90% of commercial buildings).
• $0 upfront cost subscription model that accelerates adoption.

As the Business Intelligence Analyst, you will serve as the primary architect of GridPoint’s customer facing & internal dashboarding experience. Leveraging Sigma and AWS Quick Suite as our core data visualization platforms, you will design and build dashboards that surface department performance metrics for team leads, integrate product performance data from our platform, and align this platform data against our Salesforce records to deliver actionable insights to customers & predictive trend analysis for internal stakeholders. You will partner closely with department leads including Customer Support & Service, Customer Success, Product, Delivery, and Sales to ensure dashboards are intuitive, accurate, and strategically meaningful. This role is ideal for a data-savvy analyst who has an affinity for visualization and storytelling through data, and who thrives in a hands‑on building environment rather than pure research or modeling work.

• Dashboard Development & Visualization:
  • Design, build, and maintain customer-facing and internal dashboards in Sigma & Quick Suite, creating and translating complex datasets into clear, actionable visualizations.
  • Build and manage department performance metric dashboards pulling from Salesforce & Amazon Connect, enabling department leads to monitor team performance/KPIs in near real time.
  • Integrate and cross-reference product performance data from the GridPoint platform with Salesforce data to create unified views for customer-facing dashboards & internal executive reporting.
• Data Analysis & Predictive Insights:
  • Apply data science techniques (statistical analysis, trend modeling, and predictive analytics) to identify patterns in product and customer data to surface forward‑looking insights for internal teams.
  • Partner with Customer Success, Customer Support & Service, Product, Delivery, and Sales to understand reporting needs and translate them into well‑structured, scalable dashboard solutions
  • Conduct ad‑hoc analyses to support strategic business decisions and identify opportunities for improved data collection and utilization across the organization.
• Data Quality and Governance:
  • Ensure data accuracy, integrity, and consistency across Sigma, Salesforce, AWS Quick Suite, and internal platform data pipelines.
  • Maintain & update data governance best practices and perform regular data quality checks to maintain data integrity.

Qualifications

• 2-4 years of experience in data analytics, business intelligence, or a related analytical role: background that bridges data science and applied analytics is strongly preferred.
• Hands on experience with BI/visualization platforms (e.g. Tableau, Quick Suite, Looker, Sigma). Sigma experience is a strong plus.
• Proficiency in SQL for data querying, joining, and preparation across multiple data sources.
• Excellent written & verbal communication skills with an ability to present data findings to non-technical stakeholders in a clear and compelling way.
• Familiarity with foundational data science concepts including statistical analysis, trend forecasting, and predictive modeling: formal Data Scientist experience not required but an analytical mindset with exposure to these methods is expected.
• Strong organizational and time-management skills.