SAP Analytics Cloud & Data Cloud Consultant

Accenture; Minneapolis (MN); On-site; USD 64,000 - 169,000; Full time

Job summary

Accenture is seeking a SAP Analytics consultant to lead delivery across Datasphere, SAC and BDC. You will design analytics solutions, model data, and ensure governance and performance while working directly with clients and sponsors.

You will guide data integration, activate SAP Business Data Cloud, and collaborate with Databricks AI/ML pipelines, contributing to thought leadership and practice growth.

Qualifications

• 3+ years in SAP analytics or data management consulting.
• 3+ years hands-on with SAP Analytics Cloud, SAP Datasphere, or SAP BW/4HANA.
• 2+ years working knowledge with the SAP Business AI Platform.
• 2+ years delivering full-cycle SAP analytics implementations in Finance, Supply Chain, Sales or HR analytics.
• Bachelor's degree or equivalent (minimum 12 years) work experience.

Responsibilities

• Lead end-to-end SAP Analytics engagements across Datasphere, SAC, and BDC.
• Be a client-facing leader, managing stakeholder expectations across business and IT sponsors.
• Translate complex business requirements into scalable analytics solutions, including data modeling and semantic layer design.
• Perform data integration and federation strategies within SAP Datasphere, connecting BW, S/4HANA and cloud sources.
• Design and validate SAC story and planning architectures with governance and usability in mind.
• Guide SAP Business Data Cloud adoption, including Databricks-powered AI/ML pipelines.

Skills

SAP Analytics

Education

Bachelor's degree or equivalent

Tools

SAP Analytics Cloud

SAP Datasphere

SAP BW/4HANA

SAP Business AI Platform

Job description

Accenture is seeking a SAP Analytics consultant to lead delivery across Datasphere, SAC and BDC. You will design analytics solutions, model data, and ensure governance and performance while working directly with clients and sponsors.

You will guide data integration, activate SAP Business Data Cloud, and collaborate with Databricks AI/ML pipelines, contributing to thought leadership and practice growth.