Business Operations Analyst

GridPoint is a rapidly growing technology leader focused on creating an intelligent energy network for sustainable buildings. The Business Operations Analyst will design and build dashboards to provide actionable insights and performance metrics for various departments, utilizing data visualization tools like Sigma and AWS Quick Suite.

Responsibilities:

• 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
• 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
• 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

Requirements:

• 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