
Job Overview
Location
Canada
Job Type
Full-time
Category
Data & Analytics
Date Posted
April 16, 2026
Full Job Description
📋 Description
- • Lead Business Intelligence Analyst role focused on modernizing reporting frameworks for a major health brand engagement through December 2026, partnering with marketing leaders and data teams to elevate performance insights beyond basic dashboard maintenance.
- • Day-to-day responsibilities include leveraging deep Adobe Analytics expertise and advanced Power BI capabilities to design, build, and optimize strategic reporting solutions that translate complex marketing data into clear executive insights for stakeholders.
- • Bounteous Holdings LLC is a premier end-to-end digital transformation consultancy with over 4,000+ experts across the Americas, APAC, and EMEA, delivering innovative solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing using a Co-Innovation methodology to align interests and accelerate value creation for ambitious brands.
- • The role offers the opportunity to drive strategic impact in a high-visibility engagement, deepen expertise in enterprise BI platforms, influence data-driven decision-making at the executive level, and grow as a trusted advisor in digital analytics within a global consultancy known for technical excellence.
Skills & Technologies
About Bounteous Holdings LLC
Bounteous is a digital transformation consultancy that creates omnichannel commerce and brand experiences through strategy, design, engineering, and data. It serves Fortune 500 clients in retail, financial services, consumer goods, travel, and healthcare, building customer platforms and analytics programs that integrate Adobe, Google, Acquia, and other cloud technologies. Founded in 2003 and headquartered in Chicago, it operates additional offices across North America and Europe, combining strategy consulting, user experience design, software development, and performance marketing to help large enterprises accelerate digital growth and operational efficiency.
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