Team Lead, Customer Analytics, Shipping Services
Job Description & How to Apply Below
Operative Team Lead, Customer Analytics
Operative Team Lead, Customer Analytics, will ensure the day‑to‑day delivery of high‑quality analytics, dashboards, and insights supporting DA‑Desk, Port Log, and wider Shipping Services customers in Marcura. The role will have a significant element of direct production output and will manage a team of analysts, enforce data quality standards, and drive operational excellence across analytics workflows. This position acts as the operational backbone of the Customer Analytics function, translating internal and external business needs into analytics outputs that improve customer satisfaction, renewal readiness, and commercial decision‑making.
Roles and ResponsibilitiesAct as the senior hands‑on analyst in the team, handling the most complex reporting builds, data transformations, and deep‑dive investigations.
Complete end‑to‑end production tasks—including data extraction, cleaning, modelling, visualisation, and narrative insight development.
Perform detailed quality checks on own work and team outputs, ensuring compliance with Marcura analytics standards.
Split responsibilities between direct production (≈60‑70%) and supervision/coordination (≈30‑40%), depending on business needs.
Support junior analysts by working alongside them in production workflows, modelling best‑practice techniques and data hygiene.
Drive automation for frequently repeated production tasks (e.g., scheduled report generation, Power BI refresh logic, validation scripts).
Support Customer Success leaders in Q /E preparation through direct production of insight decks and performance analysis.
Ensure operational alignment with strategic analytics initiatives and product strategy for Shipping Services solutions, including DA‑Desk, Port Log and Marcura Claims.
Partner with Engineering/Data teams by providing detailed, production‑level observations to guide fixes.
Ensure controls are in place to ensure customer data is always handled confidentially and in accordance with internal and external best practices.
Ensure all personally produced reports include relevant operational context, narrative explanation, and recommendations.
Ensure team members understand maritime context and customer use cases.
- Minimum bachelor's degree in a relevant field such as Data Science, Statistics, Mathematics, Analytics, Engineering, Economics, or a related discipline.
- Professional certifications such as Google Data Analytics Professional Certificate, Microsoft Certified:
Data Analyst Associate, Power
BI Certification. - Statistical tools or programming languages (e.g., Python, R, SQL) is a plus.
- 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.
- Experience working in a production‑oriented analytics/reporting environment with SLAs is highly desirable.
- Exposure to shipping, port operations or maritime services is advantageous.
- Strong command of SQL, Excel, and at least one analytics scripting language (Python/R ideal but not mandatory).
- Familiarity with data warehousing technologies (Big Query, Snowflake, AWS).
- Excellent communication skills, able to translate complex data into clear, customer‑ready…
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