ERP Consultant

Job Description

SAP SAC Consultant

Job Title: SAP SAC Consultant

Location: Hyderabad, Willingness to travel to Liberia based on project demand and work according to the project location’s time zone.

Primary Skill Alignment: SAP Analytics Cloud (SAC) / SAP S/4HANA Analytics

Role Summary:

Mphasis is seeking an experienced SAP Analytics Cloud (SAC) Consultant for full-time implementation and support engagements. The consultant will design, develop, integrate, and optimize analytics and planning solutions using SAP SAC, with seamless connectivity to SAP S/4HANA and related SAP and non-SAP platforms. The role requires expertise in SAC story building, data modeling, planning, forecasting, augmented and predictive analytics, and dashboarding to deliver actionable business insights for mining operations.

Key Responsibilities:

• Design and develop SAC dashboards, reports, KPIs, interactive visualizations, and self-service analytics tailored to mining operations.
• Implement and optimize SAC planning and forecasting models for financial, material, production, and demand planning.
• Develop real-time dashboards using data from SAP S/4HANA, SAP BW/4HANA, SAP HANA Cloud, SAP Datasphere, IoT and sensor platforms, and non-SAP sources.
• Implement API-based data extraction and transformation using SAP Data Intelligence, while maintaining data security, governance, access control, consistency, and synchronization.
• Optimize SAC performance, data pipelines, refresh mechanisms, and reporting automation to reduce manual effort.
• Apply Smart Predict, machine learning, and predictive analytics to improve demand forecasting and operational efficiency.
• Design intuitive dashboards and enhance the user experience for business users and decision-makers.
• Conduct training workshops, develop documentation and usage guidelines, communicate SAP SAC roadmap updates, and transfer knowledge to internal IT and analytics teams.
• Provide L2/L3 support for data connectivity, report performance, data model, access control, and reporting issues.
• Support SAC upgrades, patch management, new feature implementation, and compliance with data privacy and governance requirements.

Required Skills and Experience:

• 6–8 years of relevant experience, including 6+ years of SAP experience and at least 3 years in SAP SAC implementation and support.
• Expertise in SAP SAC Story Builder, data modeling, dashboarding, planning, and forecasting.
• Strong experience with SAC Smart Predict, machine learning, predictive analytics, and real-time reporting.
• Knowledge of SAP S/4HANA Embedded Analytics, SAP BW/4HANA, SAP HANA Cloud, and SAP Datasphere.
• Hands-on experience with SAP Data Intelligence, SQL, API-based integrations, and non-SAP data sources such as Excel and AWS.
• Experience with Digital Boardroom and BW is desirable.
• Excellent problem-solving, analytical, data visualization, stakeholder communication, and documentation skills.
• Bachelor’s degree in Computer Science, Data Analytics, Information Systems, Information Technology, or a related field.
• Mining or manufacturing industry experience is advantageous.

Tools / Technologies:

• SAP Analytics Cloud: Story Builder, Planning, Forecasting, Smart Predict, Digital Boardroom
• SAP S/4HANA Embedded Analytics, SAP BW/4HANA, SAP HANA Cloud, SAP Datasphere
• SAP Data Intelligence, SQL, APIs, Excel, AWS, IoT and sensor data sources

Key Deliverables / Success Measures:

• Reliable, high-performing dashboards, reports, planning models, integrations, and refresh schedules.
• Timely resolution and closure of assigned incidents, support requests, upgrades, and implementation tasks.
• Accurate, secure, governed, and synchronized analytics data across SAP and non-SAP platforms.
• Clear status reporting, documentation, training materials, knowledge transfer, and stakeholder communication.
• Continuous improvement recommendations that enhance automation, usability, reporting quality, and operational decision-making.

Preferred Ways of Working:

• Strong ownership mindset with attention to quality, security, governance, documentation, and stakeholder outcomes.
• Ability to collaborate with business, IT, analytics, and support teams across implementation and operational environments.
• Willingness to travel to Liberia based on project demand and work according to the project location’s time zone.

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