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Driven by our mission to support the safe, lawful, and efficient movement of trade by sea, Lloyd’s List Intelligence delivers data and analysis at the moments that clients need us most. For almost 300 years we have been the go-to partner for maritime intelligence. The Data Analyst, reporting to the Data Analytics Lead, will be expected to act as a subject matter expert across several data areas, in particular vessel and ownership data, sanctions, complex vessel operations and voyage risks analytic and to gain a broad understanding of Lloyd’s List Intelligence data and products, and most importantly how these benefit our customers. Within the remit of this role is a key focus on supporting the product roadmap and deliver on data quality programmes across several data areas in a timely manner and exploring ways to improve efficiency and processes to increase the timeliness, coverage and accuracy of data delivered to customers. The Senior Data Analyst will be responsible for providing training and mentoring of new and junior analysts.
Job Responsibility:
Research and investigate complex datasets, including fundamental vessel data, voyage risks and other related data areas in risk and compliance, becoming a subject matter expert with full knowledge of in-house methodology across the maritime data team, and be able to articulate this in written responses
Work within the Lloyd’s List Intelligence data team to clean, load and analyse high volumes of incoming maritime data across ship tracking, vessel risk and vessel information
in line with objectives for our COACT data quality framework
Ensure data quality KPIs and daily tasks are met and suggest ways to improve processes and efficiency working within our COACT data quality framework
Timely delivery of existing Data Quality Programmes, offering proactive solutions and process improvements and reporting to senior management
work as part of a project team to build, verify and validate our analytics capabilities for addressing customer Operations, Risk and Compliance solutions as per the product development roadmap
Identify and escalate any data/analytics issues quickly and proactively, providing potential solutions
Develop a deep understanding of the different customer groups and how they rely on our insight and services
Provide quality control of research teams and junior analysts’ output, offer feedback and expertise when needed, as well and mentoring and support
Keep abreast of emerging market trends and regulatory changes in the maritime industry, and competitor advances in the maritime data market
If required, attend client meetings as a subject matter expert alongside sales and product management, and present to senior management
Foster collaboration and share information with other in-house data teams, to optimise the quality of our data
Requirements:
At least 1-2 years’ experience in data analytics, data science, business intelligence, consultancy, or research
Minimum of a Bachelor’s degree in Computer Science / Software Engineering / Maths / Physics or equivalent numerate qualification
Experience with common data analytics software and programming languages (R, Python and SQL) and proven experience in analysing complex data sets
Experience of working with Big Data would be advantageous as is the ability to manipulate, model and analyse diverse datasets for use with analytics techniques
Excellent interpersonal skills and good command of English verbal and written communication
Demonstrable ability to work under pressure and manage several tasks simultaneously
A customer-first approach and strong time management skills and ability to produce high quality content within set deadlines
Strong stakeholder management is required in this role, and confident presentation skills for internal and external audiences
Proficiency in written and spoken English
Nice to have:
Experience using datasets in natural language processing (NLP) would be an advantage
Comprehensive understanding of the maritime industry and an established network of contacts in the maritime industry
Ability to compile concise training methodology and to simplify the complex, and to tailor your delivery to all types of audiences is desirable
Direct customer interactions, in a B2B environment
Experience from an online solution, analytics and subscription business
Innovative and dynamic approach to problem-solving and proven success in implementing data, research and content improvements
Experience mentoring junior colleagues or peers, and delivering technical training would be highly advantageous
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