Business Intelligence Engineer - Associate Manager

Accenture is a leading solutions and services company that helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed across the enterprise, bringing together the talent of our approximately 784,000 people, our proprietary assets and platforms, and deep ecosystem relationships. Our strategy is to be the reinvention partner of choice for our clients and to be the most client-focused, AI-enabled, great place to work in the world. Through our Reinvention Services we bring together our capabilities across strategy, consulting, technology, operations, Song and Industry X with our deep industry expertise to create and deliver solutions and services for our clients. Our purpose is to deliver on the promise of technology and human ingenuity, and we measure our success by the 360° value we create for all our stakeholders. Visit us at accenture.com.​

Overview
The Business Intelligence Engineer designs, delivers, and maintains scalable reporting and analytics solutions that enable data-informed decision-making across the organization. This role owns end-to-end analytics delivery, from understanding business needs and ensuring data integrity to building automated dashboards and advanced analytical outputs that surface insights, trends, and opportunities. The role leads a small analytics team and shapes the predictive-analytics roadmap for the function.

Key Responsibilities

• Own the end-to-end delivery of business intelligence solutions, ensuring accuracy, reliability, and timely availability of data products.

• Partner with cross-functional stakeholders to gather requirements, translate business questions into analytical solutions, and iteratively refine dashboards and reports.

• Design, build, and maintain dashboards and recurring reports that provide actionable insights and support operational and strategic decisions.

• Execute ad hoc data analyses to support business inquiries, experiments, and special initiatives.

• Monitor and manage data workflows to ensure seamless refresh cycles and proactively resolve data disruptions.

• Implement and enforce data quality controls to ensure consistency, completeness, and trust in reporting outputs.

• Transform reporting from descriptive and diagnostic views toward more proactive and predictive analytics where applicable.

• Automate manual reporting processes, including the conversion of spreadsheet-based reporting into scalable dashboards built on modern data-stack tooling (e.g., dbt, Looker, cloud data warehouses such as BigQuery, Snowflake or Redshift).

• Collaborate with data governance and adjacent data teams to align with best practices and maintain data integrity.

• Contribute to project planning and execution by managing scope, risks, dependencies, and delivery milestones.

• Provide guidance and support to team members by clarifying requirements, removing delivery roadblocks, and promoting effective collaboration across time zones.

• Communicate project status, risks, and insights clearly to stakeholders, fostering strong and trusted working relationships.