Senior Business Intelligence Engineer

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 786,000 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.

The Business Intelligence Engineer designs, delivers, and maintains scalable reporting and analytics solutions that enable data-informed decision-making. The role works across the end-to-end analytics lifecycle, from translating business requirements and ensuring data quality to developing automated dashboards and analytical solutions that identify trends and opportunities

• →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

• Bachelor’s degree in a relevant field (e.g., Data Science, Statistics, Computer Science) or equivalent practical experience.
• 4+ years of experience working in data-driven environments delivering analytics, reporting, or business intelligence solutions.
• Experience using SQL to query, transform, and analyze complex datasets.
• Experience designing and delivering dashboards using data visualization tools (e.g., Tableau, PowerBI, Data Studio).
• Working knowledge of at least one cloud data warehouse (e.g. BigQuery, Snowflake, Redshift) is preferred.
• Strong experience working with large datasets in Excel or Google Sheets, including automation and advanced analysis.
• Proven ability to translate business requirements into analytical solutions and communicate insights to technical and non-technical audiences.
• Experience with data quality assurance validation or assessments.
• Familiarity with ETL and automation concepts supporting analytics workflows.
• Experience working within Agile delivery methodologies.
• Experience communicating analytical findings to technical and non-technical stakeholders.

• Working knowledge of sales SaaS tools (e.g. SalesForce, SAP, Oracle, Zoho).
• Working knowledge of Sales Business practices.
• At least 1+ years of team leadership or data mentor for peers in your team.
• Familiarity with Git-based workflows for analytics code (branching, pull requests, code review) is preferred.
  

 Visit us at www.accenture.com 

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