Join Accenture as a Senior Analyst in BI Engineering, contributing to end-to-end F&A analytics. This role involves providing objective, relevant information and advice to drive business decisions. You will leverage data to generate actionable insights and recommendations from various channels and campaign initiatives.

Accenture is a leading global professional services company with expertise in digital, cloud, and security. We offer Strategy and Consulting, Technology and Operations services, and Accenture Song, supported by a vast network of advanced technology and intelligent operations centers. Our people deliver on the promise of technology and human ingenuity across over 120 countries, fostering value and shared success.

Drive actionable insights and business recommendations by analyzing digital and offline channels and campaign initiatives, integrating past learnings, consumer insights, and competitor analysis. Participate in reporting, dashboarding, analytics, and AI modeling activities. Streamline daily operations and initiate automation projects.

Investigate available data within databases, both internal and external, to expand current datasets. Seek clarity on business objectives for activation campaigns and identify key business questions to shape the analytics framework. Ensure consumer insights are incorporated into initiatives and KPIs align with business hypotheses.

We seek a BI Engineering Senior Analyst with 3-5 years of experience in Data Analytics, AI modeling, senior stakeholder management, and project management within a large-scale organization. Proficiency in Power BI, SQL, Python, AI/LLMs, Agentic, AIOps, LLMOps, and Data Engineering with AWS is essential. A strong analytical focus is required to support business decision-making, alongside commercial awareness and an understanding of business strategy.

Excellent interpersonal skills are crucial for effective communication with staff at all levels and external partners. You should be adept at presenting data in a structured, actionable framework that moves beyond numbers to provide clear insights. The ability to understand business objectives and design analytics models to uncover consumer preferences is key. Experience in interpreting data, formulating reports, and making recommendations is mandatory.