Join Accenture as a BI Engineering Senior Analyst and contribute to transforming businesses through advanced data and AI solutions. This role is integral to our mission of leveraging technology and human ingenuity to drive client success across diverse industries. You will be part of a global team that specializes in digital, cloud, and security, offering unparalleled expertise in strategy, consulting, technology, and operations.

Accenture is at the forefront of innovation, with a vast network of advanced technology centers. Our commitment is to create value and shared success for all stakeholders by embracing change. As a Senior Analyst, you'll play a key role in shaping our data-driven strategies and delivering impactful insights.

As a BI Engineering Senior Analyst, you will provide crucial, objective, and relevant information, analysis, and advice to support end-to-end Financial & Analytics (F&A) initiatives. You will drive actionable insights and business recommendations by analyzing various digital and offline channels and campaign performance, integrating past learnings, consumer insights, and competitor tracking.

Key duties include participating in reporting, dashboarding, analytics, and AI modeling activities. You will also seek clarity on business objectives for activation campaigns, identify key business questions to shape the analytics framework, and ensure consumer insights are embedded in initiatives. Furthermore, you will drive enhancements of current data, explore new data sources and analytics tools, and investigate data available in internal and external databases. Streamlining day-to-day operations and initiating automation projects are also vital aspects of this role, requiring proficiency in tools like Power Automate, Power BI, SQL, Python, AI/LLMs, and DevOps.

We are seeking a BI Engineering Senior Analyst with 2-5 years of experience in Data Analytics and AI modeling. Essential skills include proficiency in Data Management, Structured Query Language (SQL), Data Engineering with AWS, Power BI, Python, LLMs, Agentic, AIOps, and LLMOps.

Ideal candidates possess a strong analytical focus to support business decision-making, coupled with commercial awareness and an understanding of business strategies. Excellent interpersonal and communication skills are a must for effectively collaborating with stakeholders at all levels. The ability to present data beyond numbers into actionable insights, interpret data, formulate reports, and make data-driven recommendations is crucial. Experience in embedding new initiatives and technologies into daily activities, driving clarity, gaining stakeholder buy-in, and managing pressure are also highly valued. A strong foundation in AI and data, technological advancement, and leadership capabilities with a drive for results are essential for success in this role.