[Hiring] Business Intelligence Engineer - Associate Manager @Accenture

Role Description

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.

Qualifications

• 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, with at least 1+ year in a team lead or formal people-management capacity.
• Advanced proficiency in SQL for querying, transforming, and analyzing complex datasets.
• Hands-on experience designing and delivering dashboards using data visualization tools (e.g., Looker, LookML, Data Studio).
• Working knowledge of at least one cloud data warehouse (e.g. BigQuery, Snowflake, Redshift) is preferred.
• Familiarity with Git-based workflows for analytics code (branching, pull requests, code review) 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 cleansing, validation, and transformation to produce high-quality analytical outputs.
• Familiarity with ETL and automation concepts supporting analytics workflows.
• Experience working within Agile delivery methodologies.

Soft Skills

• Strong analytical thinking with the ability to identify patterns, trends, and anomalies in data.
• Clear and confident communication skills, tailored to diverse stakeholder audiences.
• Proactive problem-solving mindset with a focus on continuous improvement.
• Ability to manage multiple priorities while maintaining high standards of quality and accuracy.
• Collaborative approach and comfort working with multicultural, cross-functional teams.
• Adaptability and creativity when addressing evolving business and data challenges.

Benefits

• Health and Life Insurance
• Accenture days, 3 additional vacation days
• On site doctor
• Birthday leave
• Internet reimbursement