Team Lead, Customer Analytics, Shipping Services
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Key skills for this role
About the Role
Marcura seeks a Team Lead for Customer Analytics to oversee daily delivery of analytics, dashboards, and insights for shipping services customers. The role combines hands-on production (60-70%) with team supervision, requiring strong SQL, Excel, and analytics scripting skills.
Key Skills for This Role
Responsibilities
- Produce customer facing analytics outputs including dashboards, port cost insight packs, monthly reports, and ad hoc requests
- Act as senior hands on analyst handling complex reporting builds, data transformations, and deep dive investigations
- Perform end to end production tasks including data extraction, cleaning, modelling, visualisation, and narrative insight development
- Perform quality checks on own work and team outputs to ensure compliance with analytics standards
- Lead the team by example through active participation in daily production, especially during peak periods
- Support junior analysts by working alongside them in production workflows and modelling best practices
- Identify inefficiencies in production processes and introduce improvements to increase output and reduce manual tasks
- Drive automation for frequently repeated production tasks (e.g., scheduled report generation, Power BI refresh logic, validation scripts)
- Translate customer and CSM needs into tangible analytics deliverables
- Support Customer Success leaders in QBR/EBR preparation through direct production of insight decks and performance analysis
- Execute hands on data investigation to identify, diagnose, and correct data issues impacting customer facing analytics
- Apply practical understanding of shipping services, port cost workflows, claims processes, and voyage operations to improve analytics outputs
Requirements
- Minimum bachelor's degree in Data Science, Statistics, Mathematics, Analytics, Engineering, Economics, or 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 (Python/R ideal)
- Familiarity with data warehousing technologies (BigQuery, Snowflake, AWS)
- Excellent communication skills
- Strong coordination, prioritisation, and task management skills
- Understanding of maritime operations, port costs, vessel types, or port call workflow is a plus
- Ability to train and guide junior analysts
- Familiarity with statistical analysis, predictive modelling, and machine learning concepts
- Leadership skills with the ability to mentor junior team members
Full Job Posting
Purpose of the Role
- The Operative Team Lead, Customer Analytics, will ensure day to day delivery of high quality analytics, dashboards, and insights supporting DA Desk, PortLog, and wider Shipping Services customers.
- The role manages a team of analysts, enforces data quality standards, and drives operational excellence across analytics workflows.
- This position acts as the operational backbone of the Customer Analytics function, translating business needs into analytics outputs that improve customer satisfaction, renewal readiness, and commercial decision making.
Roles and Responsibilities
- Produce a high volume of customer facing analytics outputs directly, including dashboards, port cost insight packs, monthly reports, and ad hoc requests.
- Act as the senior hands on analyst, 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.
- Lead the team by example through active participation in daily production, especially during peak periods.
- Split responsibilities between direct production (60–70%) and supervision/coordination (30–40%).
- Support junior analysts by working alongside them in production workflows, modelling best practice techniques.
- Identify inefficiencies in personal and team production processes and introduce improvements.
- Drive automation for frequently repeated production tasks (e.g., scheduled report generation, Power BI refresh logic, validation scripts).
- Translate customer and CSM needs into tangible, high quality analytics deliverables.
- Support Customer Success leaders in QBR/EBR preparation through direct production of insight decks and performance analysis.
- Ensure operational alignment with strategic analytics initiatives and product strategy for Shipping Services solutions.
Requirements
- Minimum bachelor’s degree in Data Science, Statistics, Mathematics, Analytics, Engineering, Economics, or related discipline.
- Professional certifications such as Google Data Analytics Professional Certificate, Microsoft Certified: Data Analyst Associate, PowerBI 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 (BigQuery, Snowflake, AWS).
- Excellent communication skills, able to translate complex data into clear, customer ready outputs.
- Strong coordination, prioritisation, and task management skills.
- Understanding of maritime operations, port costs, vessel types, or port call workflow is a plus.
Skills
- Ability to train and guide junior analysts in tools, processes, and quality standards.
- Familiarity with statistical analysis, predictive modelling, and machine learning concepts.
- Leadership skills with the ability to mentor junior team members.
Benefits
- Exposure to strategic, monetization, and commercial product development.
- Mentorship from experienced product and growth leaders.
- Opportunity to see the full product lifecycle, from discovery to revenue impact.
- Chance to make a measurable impact on business and customer KPIs.
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