Agri Commodity Consultant - KSA

at  Infosys

Job Title: Lead Consultant
Location: Riyadh, KSA
Technology – Agri Commodity, Java, Data Modeling, any web UI technology.

ABOUT US

Infosys is a global leader in next-generation digital services and consulting. We enable clients in 56 countries to navigate their digital transformation.
With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Requirements:

• Fluency in Arabic, with excellent communication skills in both Arabic and English.
• Experience in the Techno-Functional role preferably in Agri commodity.
• Experience in coordinating with various government agencies and local industry body in KSA.
• Ability to work independently and as part of a team, with strong problem-solving skills.
• Ability to work collaboratively within a fast-paced, agile environment
• Exhibiting a relentless commitment to customer orientation and consistently delivering exceptional quality

Preferred Qualifications:

• Exposure to BigQuery or any other data warehouse technology
• Strong data analysis skills, with proficiency in tools such as SQL, Python, R, or similar.
• Experience with data visualization tools such as Tableau or Power BI.
• Familiarity with machine learning and predictive analytics.
• Experience in Application development in GC

We are looking for a highly skilled and experienced professional to serve as a techno-functional expert for contributing to a high-stakes project involving risk management systems for agricultural commodities. The ideal candidate will have a deep understanding of food security issues, particularly in Arabic-speaking regions, strong analytical skills, and the ability to bridge the gap between technical and domain expertise.

Responsibilities:

• Analyze complex data sets related to food security, including agricultural production, market prices, climate patterns, and socio-economic indicators etc.
• Coordinate with various government or local agencies to ensure and facilitate the smooth data requirement gathering and operations.
• Collaborate with stakeholders to understand business requirements and translate them into technical specifications.
• Collaborate with software developers in global delivery model to ensure accurate implementation of business requirements.
• Conduct system demo to client and support user acceptance testing (UAT) and collect feedback on system functionality.
• Facilitate workshops and meetings to elicit requirements, Knowledge transfer and resolve conflicts between different stakeholder needs.
• Provide technical support and training to end-users on system functionalities and data analysis tools.
• Ensure data integrity and security in all data handling and analysis activities.
• Assist in change management processes, helping users adapt to new systems and workflows smooth transition to operation and transfer phases.

Requirements:

• Fluency in Arabic, with excellent communication skills in both Arabic and English.
• Experience in the Techno-Functional role preferably in Agri commodity.
• Experience in coordinating with various government agencies and local industry body in KSA.
• Ability to work independently and as part of a team, with strong problem-solving skills.
• Ability to work collaboratively within a fast-paced, agile environment
• Exhibiting a relentless commitment to customer orientation and consistently delivering exceptional quality.

Preferred Qualifications:

• Exposure to BigQuery or any other data warehouse technology
• Strong data analysis skills, with proficiency in tools such as SQL, Python, R, or similar.
• Experience with data visualization tools such as Tableau or Power BI.
• Familiarity with machine learning and predictive analytics.
• Experience in Application development in GCP