Team Lead Customer Analytics - Shipping Services
About the job
- Minimum bachelor's degree in a relevant field such as Data Science, Statistics, Mathematics, Analytics, Engineering, Economics, or a related discipline.
- 4–6 years of experience in analytics, business intelligence, or reporting in a technology, SaaS, or maritime services environment.
- Minimum 1 year in a supervisory, team lead, or mentoring role.
- Strong command of SQL, Excel, and at least one analytics scripting language, with Python or R ideal but not mandatory.
- Familiarity with data warehousing technologies such as BigQuery, Snowflake, and AWS.
- Excellent communication skills to translate complex data into clear, customer-ready outputs.
- Strong coordination, prioritisation, and task-management skills.
- Ability to train and guide junior analysts in tools, processes, and quality standards.
- Familiarity with statistical analysis, predictive modelling, and machine learning concepts.
- Produce customer-facing analytics outputs directly, including dashboards, port cost insight packs, monthly reports, and ad-hoc requests, ensuring accuracy and timeliness.
- Handle complex reporting builds, data transformations, and deep-dive investigations as the senior hands-on analyst.
- Complete end-to-end production tasks including data extraction, cleaning, modelling, visualisation, and narrative insight development.
- Perform detailed quality checks on personal work and team outputs in accordance with analytics standards.
- Manage the team and divide responsibilities between direct production and supervision or coordination according to business needs.
- Support junior analysts in production workflows by modelling best-practice techniques and data hygiene.
- Identify inefficiencies in personal and team production processes and introduce improvements that increase output and reduce manual tasks.
- Drive automation for repeated production tasks such as scheduled report generation, Power BI refresh logic, and validation scripts.
- Translate customer and Customer Success needs into tangible analytics deliverables, personally executing production where required.
- Support Customer Success leaders in QBR and EBR preparation through insight decks and performance analysis.
- Align operations with strategic analytics initiatives and product strategy for Shipping Services solutions, including DA-Desk, PortLog, and Marcura Claims.
- Investigate data issues affecting customer-facing analytics, diagnose their causes, and correct them.
- Provide Engineering and Data teams with production-level observations to guide fixes.
- Ensure controls protect customer data confidentiality and comply with internal and external best practices.
- Apply shipping services, port cost, claims process, and voyage operations knowledge to improve analytics relevance and accuracy.
- Include operational context, narrative explanation, and recommendations in personally produced reports.
- Ensure team members understand maritime context and customer use cases.
- Professional certifications such as Google Data Analytics Professional Certificate, Microsoft Certified: Data Analyst Associate, or Power BI Certification.
- Experience working in a production-oriented analytics or reporting environment with service-level agreements.
- Exposure to shipping, port operations, or maritime services.
- Understanding of maritime operations, port costs, vessel types, or port call workflows.
- Experience with Python or R as an analytics scripting language.
About the company
Marcura provides software that digitizes payments, compliance and data workflows for the maritime industry. Its products, including DA-Desk and MarTrust, centralize financial transactions, compliance checks and data flows across ships, crews and ports. The company differentiates itself with independent, transparent operations, deep maritime focus, global reach and a commitment to data-driven standardisation and technology integration. Its goal is to raise standards in shipping by increasing compliance, transparency and efficiency through digitisation.
Company Size
1,001-5,000
Company Stage
N/A
Total Funding
N/A
Headquarters
Antwerp, Belgium
Founded
2001
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Simplify's Take
What believers are saying
- September 2, 2026 Procure-to-Pay unifies procurement, invoices, compliance, and payments.
- July 2026 Fairway Maritime expands Marcura Claims across US demurrage and commodity trading.
- Marcura now processes over $10 billion yearly, powering cross-sell across 650 customers.
What critics are saying
- ShipServ, VesselMan, HubSE, Shipdem, and Fairway integrations strain product coherence through 2027.
- AI invoice extraction and claim automation errors turn payment disputes into customer churn.
- A MarTrust sanctions failure or FCA inquiry freezes payments and destroys shipowner trust.
What makes Marcura unique
- Marcura ties ShipServ, MarTrust, and claims into one maritime workflow across spend and settlement.
- MarTrust’s FCA-regulated payments and daily sanctions screening differentiate it from generic maritime software.
- Twenty years of specialization and ShipServ’s 11,000-vessel network create switching costs.
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Benefits
Performance Bonus
Wellness Program
Remote Work Options
Company News
Veson Nautical, Marcura to streamline demurrage management. October 8, 2026 (C) Veson Nautical/Marcura Veson Nautical and Marcura announced an expanded partnership that connects Marcura Claims, Marcura's platform for laytime and demurrage management, with IMOS, Veson's flagship solution for commercial freight contract management and voyage execution, giving joint clients more options for managing demurrage claims. Organizations in today's markets operate a variety of unique workflows, especially when it comes to demurrage management. To meet teams' distinct needs, operators and charterers can manage demurrage claims using the claims capabilities within the Veson Platform, or through the new connection with Marcura Claims. Marcura's port cost management solution DA-Desk has been integrated with IMOS for more than 10 years, seamlessly bringing port costs directly to the voyage P&L. The new integration connects IMOS voyage data with Marcura Claims and is free to all joint IMOS Claims module clients and Marcura Claims customers. Marcura Claims pulls voyage details from IMOS, so teams know when a claim can be initiated. Once a claim has been processed in Marcura Claims, the system automatically creates a corresponding claim in IMOS, including full laytime calculations and voyage status. Together, IMOS and Marcura Claims have created a faster, more automated workflow that reduces potential errors and gives teams more time to prioritize the aspects of the claim that actually impact voyage P&L.
Marcura closes procurement-to-payment loop with new platform. 22 2 minutes read Dubai-based maritime technology group Marcura has launched an end-to-end procure-to-pay platform, bringing its ShipServ procurement network, invoice processing, compliance and MarTrust payments into a single workflow. The new Procure-to-Pay solution covers the process from supplier onboarding and purchasing through invoice validation, approvals and final settlement, with Marcura looking to tackle the fragmented systems still used by many shipowners and managers across procurement and finance. The launch is the clearest integration yet of ShipServ since Marcura acquired the maritime procurement platform in 2023. ShipServ today connects more than 11,000 vessels and provides the procurement layer for the new offering. Procure-to-Pay gives suppliers a single verified profile across Marcura and combines bank account verification with sanctions screening. Active suppliers are subsequently re-screened daily. Invoices are processed using AI-based data extraction and four-way matching against purchase orders, delivery notes and goods receipts, with anomaly detection used to flag discrepancies before payment. Once approved, payments are handled through Marcura's regulated fintech arm MarTrust, with the platform selecting payment rails and providing payment status back into the same workflow. Marcura said payments can be settled in more than 130 currencies, with 99% succeeding on the first attempt. "Marcura sits across every stage of the workflow from procurement and supplier collaboration through to compliance, fraud checks and payment execution," said group chief executive Henrik Hyldahn. "That vantage point is what let us see how much this gap was costing our customers and build something that closes it end to end rather than patching one part of the process." The platform also maintains a single audit trail covering the process from purchase order through to settlement. Marcura said it has prevented $14m in attempted fraud since 2014 through its compliance processes, which include counterparty, sanctions, ownership and bank account checks. The new system is already being used across a 120-vessel fleet and is being introduced to Marcura customers during SMM in Hamburg this week ahead of a wider rollout. Marcura bought ShipServ for an undisclosed sum three years ago in a deal designed from the outset to combine the procurement platform with Marcura's payments and compliance capabilities. The group has continued to expand since then, adding vessel management software specialist VesselMan and claims businesses HubSE and Shipdem to its portfolio. Earlier this year Marcura also launched a dedicated husbandry platform targeting procurement and cost control around non-commercial port calls.
Marcura acquires demurrage and marine claims specialist Fairway Maritime. by Ship & Bunker News Team Tuesday July 14, 2026 Henrik Hyldahn is the Group CEO of Marcura. Image Credit: Marcura Marcura has acquired the business assets of US-based demurrage and marine claims specialist Fairway Maritime LLC. The acquisition strengthens Marcura's demurrage management business in the US while adding specialist expertise across tanker, inland barge and commodity trading markets, as per an emailed press release on Tuesday. Founded in 2005, Fairway manages demurrage, deviation, detention, shifting and other marine reimbursement claims for shipowners, vessel pools, refiners and commodity traders in the US and Europe. Fairway will be integrated into Marcura Claims, with its analysts continuing to support existing customers while contributing to Marcura's wider claims portfolio. Marcura said the acquisition follows its purchases of HubSE and Shipdem, making Marcura Claims the industry's largest laytime processor by volume. Fairway Managing Partner Tom Black will remain with the company in an advisory role. Marcura's technology platform puts AI to work where it adds the most value, taking on more of the heavy lifting in a claim: reading documents, extracting clauses, and standardising calculations," Henrik Hyldahn, Group CEO of Marcura, said. Ship & Bunker News Team To contact the editor responsible for this story email Ship & Bunker at [email protected]
Marcura has acquired Shipdem, a UK-based specialist in chemical tanker laytime and demurrage, from its parent company Casper Shipping. The acquisition is intended to improve the technical capabilities of the technology group in the chemical tanker segment. Shipdem, founded in 2012, manages the en
Research finds maritime professionals rejecting full AI adoption. A recent study by Thetius in partnership with Marcura, has revealed maritime companies are stuck in the early stages of AI adoption, unable to scale beyond small experiments as widespread optimism collides with implementation reality. The study "Beyond the Hype: What the maritime industry really thinks about AI" combined over 130 survey responses and in-depth interviews with maritime professionals, revealing a sector that is both eager and cautious: 82% are optimistic about AI and 81% are running pilot projects. However, 37% have personally witnessed AI failures and only 11% have formal policies to guide scaling. Perceived risks and opportunities. * 97% believe that AI is useful or extremely useful for reducing manual workflow inefficiencies * 85% say that AI is useful or extremely useful for identifying risky voyage decisions and red flags in voyage profitability * 69% are concerned about poor business outcomes if AI solutions miss critical red flags in contracts or voyage planning * 66% worry that overreliance on the technology could lead to a reduction in human skills and oversight * 61% feel that cybersecurity and data breach vulnerabilities are the biggest risks for them in implementing AI in maritime operations * 37% have witnessed AI projects failing or causing harm * 23% feel that vendors are generally untrustworthy, offering too much hype and insufficient results. According to the study despite their general enthusiasm for AI, maritime professionals overwhelmingly reject full automation. As explained, 70% believe AI should recommend actions but humans should always make the final decision, while 66% are concerned about overreliance on the technology eroding human skills and judgement. Additionally, the study identified inadequate training as the biggest barrier to scaling, cited by 38% of respondents. The governance gap is equally stark: while 81% run pilots, only 17% have transparent processes for how AI makes decisions within their organisations. Nearly a quarter express concerns about vendor claims outpacing real-world results. Concerns such as data privacy and cybersecurity are also significant, with 61% citing them as major risks. Strong data governance and ownership frameworks are needed before organisations feel ready to scale. High- quality data is also critical to success. The rapid shift in AI adoption. Companies are using AI in areas such as navigation automation and cargo operations. But according to Theofano Somaripa, CIO at Newport SA, many smaller and medium- sized ones are not yet ready to fully adopt or scale AI. According to the research, financial constraints, lack of digital transformation strategies, staff readiness, and concerns over data privacy and transparency are blockers to scaling AI. One of the reasons for maritime's rapid adoption of AI when historically it has been fairly slow to embrace new technologies, is the increasing pressure for companies to show they are committed to advancing technologies and keeping pace with industry leaders. Another reason for the accelerated maturity curve is due to vendor relationships. Companies that have used solutions from one vendor may be more inclined to adopt AI enhancements built on top of those foundations. This is because they have not only built trust with that vendor but also because their data is already digitised and adding AI is the next natural step. Furthermore, vertical AI is building trust and maturity faster. Due to it being built for the industry's specific needs, it delivers faster time-to-value, enabling companies to progress from pilots to deployment more quickly and with greater confidence. "The best AI functions like a co- pilot, not a replacement, providing insights but always leaving the final decision up to the professional who understands the full context. As seen in some legal cases, relying on AI without human oversight can cause errors and even cross into professional misconduct," said Janani Yagnamurthy, VP Analytics, Marcura. Key recommendations. * Invest in tools specifically for maritime * Foster agency and discernment * Keep the human in the loop to harness trust * Engage with emotions, not just system * Implement governance frameworks * Demand transparency and real-world impact from vendors * Encourage experimentation