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 day-to-day delivery of analytics, dashboards, and insights for shipping services customers. The role involves hands-on production (60-70%) and team supervision (30-40%), requiring strong SQL, Excel, and analytics skills.
Key Skills for This Role
Responsibilities
- Produce high volume 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
- 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
- Lead 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
- Identify inefficiencies and introduce improvements to increase output volume and reduce manual tasks
- Drive automation for frequently repeated production tasks
- Translate customer and CSM needs into tangible analytics deliverables
- Support Customer Success leaders in QBR/EBR preparation through direct production of insight decks
- Execute hands on data investigation to identify, diagnose, and correct data issues
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 technology, SaaS, or maritime services
- Minimum 1 year in supervisory, team lead, or mentoring role
- Strong command of SQL, Excel, and at least one analytics scripting language (Python/R preferred)
- Experience in production oriented analytics/reporting environment with SLAs is highly desirable
- Exposure to shipping, port operations, or maritime services is advantageous
- Familiarity with data warehousing technologies (BigQuery, Snowflake, AWS)
- Excellent communication skills
- Strong coordination, prioritisation, and task management skills
- Leadership skills with ability to mentor junior team members
Full Job Posting
Purpose of the Role
- The Operative Team Lead, Customer Analytics, ensures day to day delivery of high quality analytics, dashboards, and insights supporting DA Desk, PortLog, and wider Shipping Services customers.
- The role has a significant element of direct production output and manages a team of analysts, enforcing data quality standards and driving operational excellence.
Roles and Responsibilities
- Produce high volume customer facing analytics outputs directly, 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.
- 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.
- Lead 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.
- Identify inefficiencies and introduce improvements to increase output volume and reduce manual tasks.
- Drive automation for frequently repeated production tasks.
- Translate customer and CSM needs into tangible analytics deliverables.
- Support Customer Success leaders in QBR/EBR preparation through direct production of insight decks.
- Execute hands on data investigation to identify, diagnose, and correct data issues.
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 technology, SaaS, or maritime services environment.
- Minimum 1 year in supervisory, team lead, or mentoring role.
- Experience working in 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).
- Familiarity with data warehousing technologies (BigQuery, Snowflake, AWS).
- Excellent communication skills.
- Strong coordination, prioritisation, and task management skills.
- Leadership skills with 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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