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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Business Intelligence Analyst - **Company:** Circana, LLC. - **Location:** Chicago, IL, United States (Remote available) - **Experience:** Expert - **Salary:** $65,000.0 - $72,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Business Process Modeling, Information Engineering, Data Integration, Data Transformation, Raw Data, Data Pipelines - **Published:** August 28, 2026 - **Apply:** https://www.jofdav.com/jobs/59425040-business-intelligence-analyst ## About the Role * 5+ years of experience in data engineering, business intelligence, analytics, data activation, or a related field. * Proven experience designing and implementing data transformation and integration solutions. * Experience working directly with business stakeholders to define requirements and deliver solutions. Circana Behaviors ## Description Manages Buyer Indifference: Recognizes and explores customer hesitation to uncover new needs or opportunities. * Understands Customer Needs: Operates as a recognized expert to articulate customer needs in the customer's business language and business context. * Being Resilient: Bounces back from setbacks with composure and positivity; helps others stay productive during tough times. * Manages Ambiguity: Stays focused and calm in uncertain situations; guides others through change. What will you be doing? The Business Intelligence Analyst plays a critical role in transforming complex retail and consumer data into scalable, business-ready solutions that power client insights, automation, reporting, analytics, and new product capabilities. This role combines technical expertise, business acumen, and strategic thinking to maximize the value of organizational data and drive measurable business outcomes. The ideal candidate is an experienced problem solver who can bridge technical and business teams, translate complex requirements into actionable solutions, and identify creative approaches to address business challenges. They are passionate about data, curious about emerging AI technologies, and comfortable working directly with Client Development teams, Product, Operations, and other stakeholders. Key Responsibilities Job Responsibilities Data Transformation & Activation * Design, develop, and maintain data transformation processes that cleanse, structure, enrich, and convert raw data into business-ready datasets. * Build and optimize scalable data pipelines that support reporting, analytics, automation, and client deliverables. * Identify opportunities to streamline processes and improve efficiency through automation. Unify Development * Design and implement data integration solutions, including the development of Connector Models and Genius Script reporting within Unify. * Partner with Product and Engineering teams to improve platform capabilities and performance. * Troubleshoot and resolve data integration and connector-related issues. Innovation & Continuous Improvement * Explore and implement AI-driven approaches that improve data preparation, automation, insight generation, and user productivity. * Partner with stakeholders to identify practical applications of AI that create measurable business value. * Contribute to best practices, documentation, and knowledge sharing across the team. Business Partnership & Solution Design * Partner with Client Development, Product, and Operations teams to translate business challenges into scalable data solutions. * Gather requirements and communicate technical concepts to non-technical stakeholders. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Global Capability Centers to AI-Powered Command Centers](https://www.wearedevelopers.com/videos/100096-from-global-capability-centers-to-ai-powered-command-centers) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Why Your AI Agent Keeps Hallucinating Your Data: Building Deterministic Context Layers](https://www.wearedevelopers.com/videos/2055-why-your-ai-agent-keeps-hallucinating-your-data-building-deterministic-context-layers) - [The Innovation Formula: Fast Prototyping, Data Analysis, and Real User Insights](https://www.wearedevelopers.com/videos/1421-the-innovation-formula-fast-prototyping-data-analysis-and-real-user-insights) ## Related Articles - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)