Own and improve maritime company and vessel ownership datasets. Research, validate, cleanse, and enrich large datasets using SQL and Python; identify anomalies and data gaps; develop quality checks, dashboards, and reports; integrate data sources; resolve issues; document business rules; and collaborate with Product, Engineering, Market Analysts, and data teams to improve platform capabilities.
At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.
Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 850 experts from 69 countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.
As a Senior Data Analyst within our Data Platform team, you will be the subject matter expert behind Kpler’s company and ownership datasets. You will be responsible for ensuring the accuracy, structure and ongoing development of company-level data, including ownership, management, operator and corporate hierarchy information.
Your deep understanding of the maritime industry and its corporate landscape will help establish a reliable source of truth for asset ownership, supporting our wider data platform strategy and enabling other datasets, products and teams to build on consistent, trusted information.
Starting with maritime companies, you will help expand our coverage over time to include other asset classes and related industries, such as ports, terminals, refineries, commodities and infrastructure. You will use your industry judgement to lead complex data investigations, identify gaps and drive improvements in data quality and coverage with a high degree of independence.
While technical data skills are important, this role places particular emphasis on your industry expertise and ability to translate complex ownership structures into clear business rules and reliable data models. You will also collaborate closely with Product, Engineering, Market Analysts and other Data Analysts to strengthen our data capabilities and support commercial and customer-facing teams.
Responsibilities
- Own the end-to-end quality of assigned vessel particulars datasets, including specifications, ownership, classification and technical attributes.
- Research and validate vessel data from multiple sources, ensuring accuracy, consistency and completeness.
- Analyse datasets to identify data gaps and anomalies, developing and running validation checks to improve data quality and coverage.
- Create and maintain SQL- and Python-based workflows to automate recurring data collection, cleansing and enrichment tasks.
- Develop dashboards and reports to monitor vessel data quality, providing Market Analysts with relevant vessel-level insights.
- Support the integration of new vessel data sources, including scoping, testing and validating incoming data feeds.
- Investigate and resolve data quality issues raised by internal teams or customers, identifying root causes and implementing fixes.
- Document data logic, business rules and definitions to ensure consistency and adherence to vessel particulars data standards.
- Collaborate with Product and Engineering teams to translate data quality findings into platform and pipeline improvements.
- Work proactively with the Vessel Data Manager, taking ownership of issues independently, communicating clearly and recommending solutions.
Skills and Experience
- 2–4 years of experience in a data analyst, data quality or data operations role.
- Experience working with SQL for data querying, cleansing and analysis.
- Demonstrable knowledge of vessel data and maritime shipping concepts.
- Experience working with large, real-world datasets, particularly vessel particulars.
- Experience in the maritime industry.
- Strong analytical skills, with a structured and detail-oriented approach to problem-solving.
- Experience with data validation, monitoring and quality-improvement techniques.
- Strong ownership and accountability, with the ability to work independently and prioritise effectively.
- Clear communication skills, with the ability to work effectively with technical and non-technical stakeholders.
Nice to have
- Familiarity with data visualisation tools and dashboarding.
- Practical experience with ETL processes and/or web scraping for data collection.
- Experience using Python for data analysis and automation.
- Experience working with APIs for data ingestion and validation.
- Experience building or maintaining data pipelines
- Familiarity with maritime data sources.
We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then you’ve found your ideal destination. Are you ready to embark on this exciting journey with us?
We make things happen
We act decisively and with purpose, going the extra mile.
We build
together
We foster relationships and develop creative solutions to address market challenges.
We are here to help
We are accessible and supportive to colleagues and clients with a friendly approach.
Our People Pledge
Don’t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements. Don’t let the confidence gap stand in your way, we’d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.
Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.
By applying, I confirm that I have read and accept the Staff Privacy Notice
Similar Jobs
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.
Top Skills:
Ai AgentsBraintrustCi/CdLangsmithLlmsPythonRuby On Rails
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Build and ship AI-native product capabilities, including models, tools, retrieval, and evaluation. Lead technical delivery for product areas, design and review code, partner with product owners, support CI/CD and production readiness, instrument features, improve shared engineering patterns, and mentor AI Product Engineers. The role requires strong software engineering fundamentals, production systems experience, and hands-on AI/ML or generative AI integration.
Top Skills:
Ai/MlSparkAPIsCi/CdDistributed Web SystemsGenerative Ai
Fintech • Mobile • Payments • Software
Lead RevenueCat’s technology partner ecosystem strategy, prioritizing integrations and strategic relationships based on customer demand, commercial value, and effort. Develop partnerships end-to-end, create creative go-to-market motions, support integration prioritization, measure ecosystem impact, and establish scalable models for inbound partner requests and lower-touch integrations. Collaborate cross-functionally with Product, Engineering, Marketing, Sales, and Customer Success in a high-ownership remote startup environment.
Top Skills:
APIsNotionSdksSlackZoom
What you need to know about the Manchester Tech Scene
Home to a £5 billion digital ecosystem, including MediaCity, which consists of major players like the BBC, ITV and Ericsson, Manchester is one of the U.K.'s top digital tech hubs, at the forefront of advancements in film, television and emerging sectors like as e-sports, while also fostering a community of professionals dedicated to pushing creative and technological boundaries.
