Senior Cargo Analyst (wet bulk)
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Senior Cargo Analyst (wet bulk) Location: London (1 to 2 days in office) Engagement Duration: 3 months - potential extend / go permanent Salary: £450 - £500 per day (inside IR35) Potential for Full-time Role: Based on project outcome (No sponsorship offered) Overview We are seeking a Senior Cargo Analyst with a strong understanding of cargo trades, particularly wet bulk , and familiarity with sanctions compliance and maritime industry regulations. This role is critical for delivering a comprehensive dataset analysing cargo data over an 2-3 month engagement, with a possibility of extending. Depending on project success, this position may transition to a full-time role. Essential Qualifications Experience: 3-5 years in OSINT research, data analytics, or modelling; senior analyst or team lead in business intelligence, consultancy, or data research. Consulting & Analysis: Proven experience as a consultant or lead analyst on complex datasets, delivering productionised models in an agile environment. Stakeholder Management: Strong skills in managing stakeholders, including external clients. Strategic Thinking: Customer-centric approach with a history of driving product innovation. Problem Solving: Proactive and business solution-focused problem solver. Communication: Ability to simplify complex themes for methodology documents and communicate strategic recommendations to C-suite leaders. Project Management: Excellent skills in project management, prioritising tasks, and meeting deadlines in a fast-paced environment. Key Responsibilities Task Execution: Complete all tasks within agreed project deadlines. Customer Requirements: Capture and playback customer requirements, ensuring deliverables meet the project scope. Agile Work: Operate in an agile format with two-week sprints, delivering on project timelines and driving commercial growth. Team Collaboration: Work closely with product management, data engineering, data science, and front-end development teams. Process Documentation: Document key processes and methodologies, providing confident and concise recommendations. Training & Onboarding: Train and onboard new colleagues as required, promoting collaboration and knowledge sharing within data teams. Client Engagement: Serve as a subject-matter expert, attending client calls alongside sales and product management. Desirable Qualifications Maritime Industry Knowledge: Comprehensive understanding of different segments of the maritime industry is a significant benefit. Innovation: Dynamic approach to problem-solving. Commercial Acumen: Understanding of working with CAPEX budgets and product discovery. Coaching Skills: Ability to coach and train junior analysts and peers. Competitor Analysis: Experience with competitor mapping and benchmarking using open-source and primary interviews. Presentation Skills: Confident in presenting to internal and external audiences. Customer Query Resolution: Experience in resolving complex customer queries. Technical Skills: Proficiency in Big Data management tools like SQL, Python, or experience with natural language processing (NLP) datasets is an advantage.
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