Sr BI Analyst

About Mizkan America

Based in our Corporate Headquarters in Schaumburg, IL, Mizkan America is a subsidiary of the Mizkan Group, a global, family‑owned company that has been Bringing Flavor to Life™ for over 220 years. As one of the leading makers of vinegars, condiments, and sauces in the United States, Mizkan America maintains 12 manufacturing facilities that serve the retail, food service, specialty‑Asian and food‑ingredient trade channels.

We are committed to following our two core principles: continuously challenging the status quo and delivering only the finest products for our customers. Our leadership seeks out, embraces, and implements ideas for improvement from all of its employees. Transparency and accountability are two key factors that drive our company’s overall management approach.

The Senior BI Analyst plays a critical role in translating business data into trusted actionable insights that improve visibility, support decision‑making, and business outcomes. This role partners with business and IT stakeholders to define reporting needs, standardize metrics, and deliver secure, scalable analytics solutions. This position combines business intelligence, data modeling, and analytics expertise with modern data platform capabilities, leveraging Power BI, Microsoft Fabric, Azure analytics services, and related tools.

The role also supports data engineering and modern lakehouse practices, including scalable data pipelines, governed data models, and reusable reporting solutions aligned to business priorities.

Schaumburg, IL

• Design, develop, and maintain scalable BI solutions including dashboards, reports, scorecards, and semantic models using Power BI and Microsoft analytics tools
• Partner with stakeholders to gather requirements, define metrics, and translate business needs into scalable analytics solutions.
• Analyze, model, transform, and visualize data from multiple business systems to present clear, consistent insights that support decision making.
• Build and maintain data pipelines and transformations within Microsoft Fabric using SQL, Python, PySpark, notebooks, and pipelines.
• Contribute to the design and optimization of lakehouse architecture (Bronze/Silver/Gold layers) to support scalable analytics and reporting.
• Support Microsoft Fabric capabilities, including Lakehouse, Warehouse, pipelines, Dataflows Gen2, notebooks, semantic models, and Power BI integration.
• Contribute to lakehouse design, including Bronze/Silver/Gold layers and scalable data structures.
• Apply reporting governance, data quality, access control, documentation, and lifecycle practices to support accurate, secure analytics delivery.
• Develop business requirements documentation (BRD) in partnership with technical and non‑technical stakeholders.
• Support deployment practices, including version control and CI/CD pipelines where applicable.
• Drive automation and standardization efforts to reduce manual reporting and improve efficiency.
• Provide user support, training, troubleshooting, and adoption assistance for BI tools, reports, dashboards, and analytics processes.
• Collaborate across IT and business teams to continuously improve reporting processes and data solutions.
• Perform other duties assigned that support the overall success of the team, department, or organization. This may include participating in cross‑functional initiatives, contributing to process improvements, or assisting with special projects as needed.
• This list is intended to describe the general nature and level of work performed. This is not an exhaustive list of all responsibilities required for this role.
• Regular, predictable attendance during core business hours in a remote work environment is an essential function of this position. Employees are expected to be responsive, accessible, and actively engaged throughout the workday.

• Strong expertise in data engineering, business intelligence, reporting, dashboard development, and data visualization.
• Advanced proficiency with Power BI, Microsoft Fabric, and Azure analytics services
• Experience with data modeling, semantic modeling, DAX, Power Query, SQL, and data…