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Our NielsenIQ, Retail Analytics team helps retailers turn shopper insights into strategic advantage by leveraging our deep expertise in data science and technology to mine shopper data, uncovering what drives consumer decision making. By using advanced modeling, artificial intelligence and cloud-based SaaS solutions, we are able to put these insights at the fingertips of our clients.   

As a BI Solutions Architect, you’ll be part of a team of smart, highly skilled engineers and architects who are proud to partner with some of the world’s leading retailers on challenging, cutting-edge, Innovative and data driven solutions - all powered by our exceptional technology and people.  Our core technologies currently include Qlik Sense, Sisense, Java, Angular, Nodejs, Python and Snowflake and we continue to adopt the best of breed in cloud-native, low-latency technologies. Our team is co-located and agile, with a central hub in Toronto. 

What you’ll do    

• Define, develop and promote the BI, Web and Data Architecture strategy that aids the organization and our clients in achieving their analytical solutions and strategic information management goals. 
• Lead design, development and implementation of our solution architecture. This includes the design and deployment of BI, web and enterprise data standards, architecture patterns and data models.  
• Lead solution architecture efforts in support of key analytics innovations that involve multiple internal and/or external (client) stakeholders. 
• Ensure the solution architecture aligns with the roadmaps established by the product vision, and that it adheres to the broader architecture principles across functional teams (R&D, Data and Tech, Tech Analytics).    
• Provide advice and support to allow designing and implementing an optimal BI technical architecture and security framework.
• Define how data will be stored, consumed, integrated and managed within data platforms and application products.
• Provide recommendations and implement new or modified development methods, procedures, and automation. 
• Research new technologies, create architectural roadmap, design global features and define development standards and processes for developing new products or enhancing solutions. 

We’re looking for people who have  

• 7+ years' experience leading complex BI and/or data architecture projects along with experience working with large data sets.
• Strong background in embedded analytics.
• Experience with multiple BI tools (Qlik, Sisense, Power BI, Tableau etc.).
• Expertise in SQL and proficient in dimensional and relational database design and data models (Snowflake, RedShift, Teradata).  
• Expertise with developing and communicating technical roadmaps and lead development teams in technical adoption. 
• Exposure to modern web development technology (Java, .NET, Node.js, JavaScript, Angular, Bootstrap, MVC, etc.), REST APIs and microservices.
• Expertise in Lean and Agile software development methodologies (Kanban or Scrum).

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About NielsenIQ 

NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge.  We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com.

NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.