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Business Intelligence Engineer – Associate Manager

Accenture

🇬🇧 English
dbt Looker BigQuery Snowflake Redshift

Description du poste

About the role

Accenture is seeking a Business Intelligence Engineer – Associate Manager to design, deliver, and maintain scalable reporting and analytics solutions. The role owns end‑to‑end analytics delivery, turning business questions into actionable dashboards and predictive insights while leading a small analytics team.

Key responsibilities

  • Own the full lifecycle of business intelligence solutions, ensuring data accuracy, reliability and timely availability.
  • Partner with cross‑functional stakeholders to gather requirements and translate them into analytical deliverables.
  • Design, build and maintain dashboards and recurring reports that support operational and strategic decisions.
  • Execute ad‑hoc analyses for business inquiries, experiments and special initiatives.
  • Monitor data workflows, manage refresh cycles and resolve data disruptions.
  • Implement data quality controls and move reporting toward proactive and predictive analytics.
  • Automate manual reporting, converting spreadsheet‑based processes into scalable dashboards using modern data‑stack tools.
  • Collaborate with data governance and adjacent data teams to maintain data integrity.
  • Contribute to project planning, managing scope, risks, dependencies and delivery milestones.
  • Provide guidance to team members, remove roadblocks and promote effective collaboration across time zones.

Required profile

  • Proven experience leading a small analytics or BI team.
  • Strong understanding of end‑to‑end BI delivery, from requirement gathering to dashboard deployment.
  • Ability to manage project scope, risks and delivery timelines.
  • Excellent communication skills for stakeholder interaction and status reporting.

Required skills

  • dbt
  • Looker
  • Cloud data‑warehouse platforms such as BigQuery, Snowflake or Redshift

What we offer

  • Opportunity to work at a global leader in consulting and technology.
  • Exposure to cutting‑edge AI and analytics projects across industries.
  • Collaborative environment with a focus on continuous learning and innovation.

Questions fréquentes

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