At Circana, we measure and accelerate demand. It’s that simple. We partner with brands to address their toughest business challenges through a combination of our big data, AI data-visualization platform, and deep expertise across more than 25 industries. Our clients count on us to guide them on their next steps, and the steps after that, so they can innovate, meet consumer demand, and grow.

Formerly IRI and NPD, we have a combined 100-plus years of history consulting with more than 7,000 of the world’s leading brands and retailers. Our insights on online and in-store purchasing behavior are used by the largest media outlets in the world, including Bloomberg, CNBC, CNN, Financial Times, The New York Times, The Wall Street Journal, USA Today, and others.

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.

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.

Requirements:

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.