Team Lead, Customer Analytics, Shipping Services

Marcura; United Arab Emirates; On-site; AED 293,000 - 368,000; Full time

Job summary

A maritime services company in the United Arab Emirates is seeking an Operative Team Lead for Customer Analytics to oversee analytics production and manage a team of analysts. This role demands significant hands-on reporting experience, leadership skills, and a strong background in analytics, including proficiency in SQL and data visualization tools. Candidates should possess at least a bachelor’s degree in a relevant field and aim to enhance customer satisfaction through data-driven insights. The position offers the opportunity to drive operational excellence and contribute to strategic developments.

Benefits

Exposure to product lifecycle

Mentorship from experienced leaders

Opportunity to impact business KPIs

Qualifications

• 4–6 years of experience in analytics or business intelligence in a relevant environment.
• Minimum 1 year in a supervisory or mentoring role.
• Strong command of SQL, Excel, and at least one analytics scripting language.
• Excellent communication and coordination skills.

Responsibilities

• Lead and manage a team of analysts to deliver high-quality analytics outputs.
• Produce customer-facing analytics including dashboards and insight packs.
• Identify inefficiencies and drive automation for production tasks.
• Collaborate with cross-functional teams to meet customer needs.

Skills

SQL

Excel

Python

R

Data Visualization

Communication

Team Leadership

Education

Bachelor’s degree in Data Science, Statistics, Mathematics, Analytics, Engineering, Economics

Tools

PowerBI

Google Data Analytics

BigQuery

Snowflake

AWS

Job description

Purpose of the Role The Operative Team Lead, Customer Analytics, will ensure the day‑to‑day delivery of high‑quality analytics, dashboards, and insights supporting DA‑Desk, PortLog, and wider Shipping Services customers in Marcura. The role will have a significant element of direct production output 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 internal and external business needs into analytics outputs that improve customer satisfaction, renewal readiness, and commercial decision‑making.

Responsibilities

• Operational Delivery and Reporting Quality
  • Produce a high volume of customer‑facing analytics outputs directly, including dashboards, port cost insight packs, monthly reports, and ad‑hoc requests, ensuring accuracy and timeliness.
  • Act 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.
• Team Leadership and Workflow Management
  • Lead the team by example through active participation in daily production, especially during peak periods or high‑pressure deadlines.
  • 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.
• Continuous Process Improvement
  • Identify inefficiencies in personal and team production processes and introduce improvements that materially increase output volume and reduce manual tasks.
  • Drive automation for frequently repeated production tasks (e.g., scheduled report generation, Power BI refresh logic, validation scripts).
• Cross‑Functional Collaboration
  • Translate customer and CSM needs into tangible, high‑quality analytics deliverables personally executed where required.
  • 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, including DA‑Desk, PortLog and Marcura Claims.
• Data Integrity and Governance
  • Execute hands‑on data investigation to identify, diagnose and correct data issues impacting customer‑facing analytics.
  • 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.
• Operational Insight and Maritime Context
  • Apply practical understanding of shipping services, port cost workflows, claims processes, and voyage operations to improve relevance and contextual accuracy of analytics outputs.
  • Ensure all personally produced reports include relevant operational context, narrative explanation, and recommendations.
  • Ensure team members understand maritime context and customer use cases.

Benefits

• Exposure to strategic, monetization, and commercial product development.
• Mentorship from experienced product and growth leaders.
• The opportunity to see the full product lifecycle, from discovery to revenue impact.
• The chance to make a measurable impact on business and customer KPIs.

Requirements

• 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, 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.
• 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.