Industry Tenure: 10+ years in B2B technology sales, with a minimum of 3 years focused on multiple accounts from all sectors.
Tech Fluency: Deep understanding of the AI stack (Generative AI, LLMs, Agentic Workflows) and Cloud Infrastructure. You should be able to explain "Data Residency" vs. "Data Sovereignty" without a script.
The "Public Sector" Edge: Proven track record of closing deals exceeding $1M - $5M+ within government procurement cycles (RFPs, Tenders, Frameworks).
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Candidate must possess at least a Bachelor's Degree, Post Graduate Diploma, Professional Degree, Computer Science/Information Technology, or equivalent
Minimum 1 year of hands-on experience in ETL platforms and open source technologies
Good understanding of ETL tools and technologies
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Education: Minimum Diploma or Degree in Engineering (Materials, Mechanical, Industrial), Polymer/Materials Science, or a closely related technical field.
Experience: Minimum 2–3 years of progressive working experience in a Research & Development, Technical, or Quality role within a manufacturing environment.
Technical Knowledge: Basic knowledge of PPAP (Production Part Approval Process) or Quality Management Systems (QMS).
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Candidate must possess or currently pursue a Bachelor’s Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, Statistics, or equivalent.
Basic understanding of machine learning concepts, data processing, and model training workflows.
Familiar with programming languages such as Python, Java, or Golang.
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Bachelor's Degree in Data Science, Marketing, Mass Communication, or a related field.
Technical Stack Fluency:
Analytics: High proficiency in Excel/Google Sheets (Pivot Tables, complex lookups) and social data suites (Meta Business Suite, TikTok Analytics, Google Analytics 4).
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Minimum 5–10 years of experience in food manufacturing, with at least 5 years in a managerial or assistant managerial role.
Strong experience in new product development (NPD) from concept to commercialization, including shelf life study, formulation, TDS, and product trials.
Exposure to UHT, beverage, margarine, oils & fats, chocolate & confectionery, or dairy-based products.
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Bachelor Degree, Master or PhD in Pharmaceutical, Chemistry, Biochemistry or any science related course.
Minimum 3 years hands-on working experience particularly in areas like analytical method development, analytical method validation & analytical testing.
Strong ability to conduct experiments, analyse data, and interpret results accurately.
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2 to 5 years of working experience as a Business Analyst or in a similar business analysis role.
Experience in the Financial Services Industry is highly preferred, particularly in banking, fintech, insurance, payments, lending, compliance, risk, digital banking, or related areas.
Strong experience in end-to-end business analysis activities, including requirement gathering, documentation, process mapping, testing support, implementation, and post go live support.
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