Senior SAP Analytics Solutions 

Company Overview:
Argano is at the forefront of global digital consultancy, renowned for seamlessly merging strategic planning with execution to catalyze high-performance business operations transformations. Our mission is to bolster our clients' agility, profitability, customer engagement, and growth through strategic consulting. Leveraging proprietary intellectual property, Argano offers an all-encompassing analysis of business operations, identifying strengths and unlocking opportunities for enhancement. With a global cadre of industry luminaries, we lead in operational design and technology implementation across a broad spectrum of applications, including SAP Data & Analytics solutions, positioning our clients at the leading edge of digital transformation.

Role Overview:
As the Principal Consultant for SAP Analytics Solutions at Argano, you will take on a pivotal role in delivering cutting-edge SAP Analytics Suite (which includes native SAP products, Google, Azure, AWS, and other cloud vendor products for SAP customers), SAP Analytics Cloud (SAC), SAP Datasphere/Data Warehousing Cloud, and SAP Embedded Modeling. You will be instrumental in guiding our clients through their transformation journeys, ensuring the strategic alignment of SAP Analytics solutions with their business objectives, and establishing Argano as the go-to partner for SAP digital transformation projects.

Key Responsibilities

Strategic Solution Development:

• Architect and implement strategic SAP Analytics solutions, including SAP Analytics Suite, SAP Analytics Cloud (SAC), SAP Datasphere/Data Warehousing Cloud, and SAP Embedded Modeling, tailored to meet client-specific needs.
• Conduct thorough business process analyses and requirements gathering to recommend SAP solutions that drive data-driven decision-making and operational efficiency.

Client Engagement and Advisory:

• Build and maintain robust client relationships, serving as a trusted advisor on SAP Analytics capabilities and industry best practices.
• Address client challenges by aligning SAP Analytics solutions with their strategic goals, enhancing their analytical capabilities and reporting functions.

Project Leadership and Management:

• Oversee SAP Analytics implementation projects, ensuring timely delivery within scope and budget.
• Lead and inspire cross-functional teams, promoting collaboration and innovation to meet and exceed project objectives.

Risk Management and Quality Assurance:

• Proactively identify and address potential project risks, developing strategies to mitigate them and ensure project success.
• Uphold the highest standards of quality for all project deliverables, ensuring they meet Argano’s expectations and client requirements.

Change Management and Training:

• Facilitate effective change management processes associated with the implementation of SAP Analytics solutions, minimizing business disruption.
• Design and conduct comprehensive training sessions to empower clients with the knowledge and skills to leverage SAP Analytics solutions fully.

Thought Leadership and Innovation:

• Maintain up-to-date knowledge of the latest SAP Analytics developments, trends, and best practices, positioning Argano as a thought leader in the field.
• Foster a culture of continuous improvement by sharing insights and best practices with clients and internal teams.

Technical Responsibilities

SAP Analytics Cloud (SAC):

• Build and maintain analytical and planning models, advanced stories, dashboards, KPIs, and predictive reports using SAP SAC.
• Work with both acquired data models and live data models; familiarity with JavaScript coding in SAC stories is required.
• Set up connections, maintain user authorizations, configure row-level security, and schedule publications as needed.
• Build and maintain planning models, user interfaces, and data actions within SAC.

Embedded Analytics:

• Build and maintain CDS views and OData services and expose them to SAC or Datasphere per client requirements.
• Develop and optimize AMDP procedures; familiarity with ABAP is required.
• Ensure a thorough understanding of analytical CDS views and performance optimization techniques for CDS views.

Datasphere:

• Architect business data fabric using SAP Datasphere, including data replication, transformations, and data flow design.
• Work with graphical and scripted views, intelligent lookups, and analytical models.
• Build and schedule task chains for data replication.
• Integrate Datasphere with SAC, S/4HANA, and external systems, including semantic onboarding.

Minimum and/or Preferred Qualifications

Education:

• Bachelor’s or master’s degree in business administration, Computer Science, Information Systems, Engineering, or a related field.

Experience:

• Minimum of 10+ years in SAP consulting, with extensive experience in SAP Analytics Suite, SAP Analytics Cloud (SAC), SAP Datasphere/Data Warehousing Cloud, and SAP Embedded Modeling.

Certifications:

• SAP certifications in Analytics, SAC, Datasphere/DWC, or related areas are highly regarded.

Skills:

• Profound expertise in SAP Analytics, including SAP Analytics Suite, SAC, Datasphere/DWC, and Embedded Modeling.
• Exceptional project management and leadership skills, capable of guiding teams through complex implementations.
• Excellent client engagement and communication skills, adept at establishing trust and acting as a strategic advisor.
• Strong capabilities in risk management, quality assurance, and change management.

This position offers a unique chance to make a significant impact on our clients' success and to contribute to the growth and prestige of Argano as a global leader in digital consultancy. If you are a seasoned expert in SAP Data & Analytics with a passion for digital transformation and a proven track record of delivering results, we invite you to join our dynamic team.

Argano is an equal-opportunity employer. All applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.