Senior Business Intelligence Analyst

Monster Energy; Corona (CA); On-site; USD 90,000 - 120,000; Full time

Job summary

Monster Energy is seeking a senior-level BI/Analytics professional to own and evolve Power BI dashboards and analytics across shipments, depletions, distribution, and related metrics. You will design autonomous AI agents to query and analyze Monster's commercial data ecosystem and harness data from SQL Server, Azure SQL, SAP, Google Analytics to deliver advanced visuals and scalable reports.

The role requires strong Power BI mastery, Python/R capabilities, and experience with Microsoft Fabric

Qualifications

• Bachelor's degree in a related field.
• 3–5 years of experience in BI/Analytics.
• Recent Microsoft Fabric experience across OneLake, Lakehouse, Data Warehouses, Data Factory pipelines, and Direct Lake/VertiPaq storage.
• 1–3 years developing or supporting AI-powered analytics solutions.

Responsibilities

• Own and evolve high-impact Power BI dashboards and reporting solutions.
• Design and deploy autonomous AI agents to query and analyze Monster's data ecosystem.
• Harness data from SQL Server, Azure SQL, SAP, Google Analytics for advanced analytics and visualizations.
• Champion a data-first culture by enabling stakeholder-driven analytics and scalable processes.
• Translate findings into business narratives for cross-functional teams.

Skills

Power BI

Python

R

SQL

Education

Bachelor's degree in Business Analytics, Business, Economics, Information Technology, Computer Science

Tools

Microsoft Fabric

SQL Server

Azure SQL

SAP

Google Analytics

Job description

Forget about blending in. That's not our style. We're the risk takers, the trailblazers, the gamechangers. We're not perfect and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. Our drive is just like our athletes, unrivaled. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become on along the way. We are much more than a brand here. We are a way of life, a mindset. Join us.

Responsibilities

• Own and evolve high-impact Power BI dashboards and reporting solutions that transform complex commercial data into actionable insights across Shipments, Depletions, Distribution, Nielsen, Survey, and other critical business metrics.
• Pioneer the next generation of data analytics by designing and deploying autonomous AI agents that can independently query, analyze, and uncover insights from Monster\'s commercial data ecosystem.
• Harness large-scale data from SQL Server, Azure SQL, SAP, Google Analytics, and other enterprise platforms to deliver advanced analytics, compelling visualizations, and scalable reporting solutions that fuel business growth.
• Champion a data-first culture by empowering stakeholders to make faster, smarter, and more informed decisions through accessible, insight-driven analytics and innovative business processes.
• Translate complex analytical findings into clear business narratives, helping cross-functional teams unlock the full value hidden within their data.
• Become the go-to expert on sales and commercial data, leveraging advanced analytics tools such as Python and R to identify trends, opportunities, risks, and hidden revenue-driving insights.
• Influence strategic decision-making by presenting executive-ready analyses and recommendations to senior leadership, Sales Operations, and Monster\'s North American sales organization.
• Build secure, scalable integrations between AI solutions and Microsoft Fabric using Model Context Protocol (MCP), APIs, and modern enterprise connectivity frameworks.
• Drive AI quality and reliability by implementing validation frameworks, monitoring hallucination rates, mitigating prompt injection risks, and ensuring trustworthy analytical outputs at scale.
• Lead the organization\'s agentic analytics journey by serving as a subject matter expert, developing training programs, and enabling commercial teams to confidently leverage AI-powered insights in their daily decision-making.
• Shape the future of analytics at Monster Energy by combining cutting-edge AI, enterprise data platforms, and business intelligence to unlock competitive advantages and accelerate growth.

Qualifications

• Bachelor\'s degree in Business Analytics, Business, Economics, Information Technology, Computer Science, or a related field.
• 3–5 years of experience in Business Intelligence, Analytics Engineering, Data Development, or a similar advanced analytics role, with hands-on experience designing enterprise reporting solutions and working within the Microsoft data ecosystem.
• Recent Microsoft Fabric experience, including expertise across OneLake, Lakehouse, Data Warehouses, Data Factory pipelines, and Direct Lake/VertiPaq storage architectures.
• 1–3 years of experience developing, deploying, or supporting AI-powered solutions, workflows, and automation initiatives within a business or analytics environment.
• Expert-level proficiency in Power BI, including advanced DAX development, Power Query (M), semantic modeling, performance optimization, and enterprise-scale dashboard design.
• Strong experience working with large, complex datasets and integrating data from multiple sources to deliver reliable, scalable reporting and analytics solutions.
• Strong problem-solving skills with a passion for uncovering opportunities, identifying trends, and driving continuous improvement through data.
• Preferred certifications include Certified Professional Category Analyst (CPCA) or other certifications and training related to BI, Data Visualization, Microsoft Fabric, Power BI, Data Analytics, or AI.
• A growth mindset, intellectual curiosity, and enthusiasm for leveraging emerging technologies to transform how insights are generated, consumed, and acted upon across the business.

Monster Energy provides competitive total compensation. The estimated annual salary range for this position is listed below. Actual compensation may vary based on skills, qualifications, experience, and work location.

Pay Range

$90,000 - $120,000 USD

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