Join Accenture Marketing Operations, the global managed services arm of Accenture Interactive. We are a part of the Operations Business, leveraging industrialized run capabilities and investments from Accenture Operations. Our mission is to create the world's best experiences by driving value across customer interactions and maximizing marketing performance.

We combine deep functional and technical expertise to future-proof client businesses, accelerating time-to-market and operating efficiently at scale. As digital professionals, we are dedicated to delivering innovative, end-to-end customer experience solutions. Our focus is on operating marketing models that empower businesses to transform and excel in the evolving landscape.

Key responsibilities include designing and maintaining logical, physical, and semantic data models to support marketing KPIs, campaign reporting, attribution, segmentation, and personalization. You will build and maintain scalable schemas, data marts, and analytical layers optimized for performance in BI and analytics applications.

Furthermore, you will uphold metadata standards, data catalogs, and documentation for data traceability and discoverability. This role involves leading efforts to ingest, standardize, and harmonize data from various marketing sources, ensuring compliance with data privacy regulations like GDPR and CCPA. Defining access controls and security models for sensitive customer data is also crucial, along with performing bug diagnosis and fixes.

We are seeking individuals with strong capabilities in data collation, analysis, and reporting. Proficiency in GCP, SQL, and Excel is essential, along with experience creating metadata and analytics pipelines. The ability to mentor and guide team members, coupled with a solid understanding of database concepts, is highly valued.

Prior experience handling large data volumes for ad-hoc analysis and standard business reporting, including data wrangling, is required. Experience developing pipelines and deploying jobs in production, potentially using Airflow, is beneficial. Excellent verbal and written communication skills are a must, along with strong teamwork and problem-solving abilities.

Candidates should be comfortable working in a global collaborative team environment, possess a keen attention to detail, and be able to perform under pressure. Experience with Python and familiarity with CPG, Retail, or Beauty industries are advantageous. Previous experience with BI tools such as Looker, Tableau, or Power BI is also considered.