Business Intelligence Analyst

GT'S Living Foods•Los Angeles, CA

4d•Hybrid

About The Position

The Business Intelligence Analyst will be part of our Enterprise Applications BI/Analytics Team and will be responsible for designing, developing, and maintaining our Power BI platform. As the Power BI developer, this position will be responsible for providing scalable, best-in-class Business Intelligence/Reporting solutions and processes. With a focus on driving data-driven decision-making, this resource will create innovative reports, views, dashboards, scorecards, visualizations, and mobile analytics apps using Power BI and Power Platform. This role will be heavily involved with requirements gathering, Data Profiling, developing KPIs, metrics, dashboards, data integration and adoption of the platform. Cross-departmental engagement working closely with the IT, Sales, Finance, Marketing, Manufacturing, and Operations teams to develop data-informed reports, ultimately supporting successful business growth, operational efficiency, and sales acceleration. To succeed in this role, you must have demonstrated skill at Enterprise data warehouse and a broad understanding of data integration, storage, visualization tools, and data modeling. Overall, the focus will also be on enabling self-service data analysis for ease of reporting and analytics visualization while consistently focusing on data accessibility, efficiency, governance, performance, and integrity.

Requirements

2+ years of hands-on experience developing reports and dashboards in Power BI.
2+ years of experience with data preparation, data gateways, and data warehousing projects.
Strong data-testing skills using SQL, including source-to-target validation across ERP source systems, staging layers, data warehouse targets, and reports.
Fundamental SQL knowledge pertaining to data extraction, transformation, and performance optimization.
Advanced knowledge of dimensional modeling, DAX, Power Query, and Power BI visualization best practices.
Bachelor’s Degree in Computer Science, Data Analytics, Information Systems, or related field.
Understanding of data warehouse concepts and ELT/ETL fundamentals.
Familiarity with Azure data services such as Azure SQL Database, Azure Synapse Analytics, or equivalent cloud technologies.
Hands-on experience with Power BI Service administration, workspace management, security, scheduled refreshes, and gateway configuration.
Experience gathering and analyzing business requirements and translating them into reporting solutions.
Experience prototyping, designing, developing, and supporting interactive dashboards and reports.
Experience working with business stakeholders to define KPIs, reporting requirements, and data-validation criteria.
Ability to design repeatable, maintainable, and scalable analytics solutions.
Strong analytical, problem-solving, and communication skills.

Nice To Haves

Foundational knowledge of Power Automate and Power Apps.
Foundational knowledge of artificial intelligence, generative AI, and their applications in data analytics and business intelligence.
Familiarity with AI-assisted analytics capabilities such as Microsoft Copilot, Power BI Copilot, or similar tools.
Experience developing business intelligence and reporting solutions using Microsoft Dynamics 365 data is a plus.
Microsoft Power BI certification, such as Microsoft Certified: Power BI Data Analyst Associate (PL-300).

Responsibilities

Designing, developing, and maintaining our Power BI platform.
Providing scalable, best-in-class Business Intelligence/Reporting solutions and processes.
Creating innovative reports, views, dashboards, scorecards, visualizations, and mobile analytics apps using Power BI and Power Platform.
Requirements gathering, Data Profiling, developing KPIs, metrics, dashboards, data integration and adoption of the platform.
Cross-departmental engagement working closely with the IT, Sales, Finance, Marketing, Manufacturing, and Operations teams to develop data-informed reports.
Enabling self-service data analysis for ease of reporting and analytics visualization.
Focusing on data accessibility, efficiency, governance, performance, and integrity.