Group Product Analyst
Posted 21 Jul 2026
Advertised as “Group Product Analyst II”
BranchFactor Summary
The original posting with the fluff stripped out
- Level
- II
- Expected experience
- 7+ yrs
- Management level
- Individual contributor
No salary listed for this role.
CertificationsMaster of Business Administration
Field of studyComputer Science, Engineering, Mathematics, Statistics (or related)
Study levelBachelor's or higher
KEY ACCOUNTABILITIES
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Work closely with the Business, Product and Technology teams to develop world class systems and processes.
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Leverage business context, data analytics including statistical modelling and data science skills to define the business problem to be solved, develop methodology and roadmap, and formulate solution approaches.
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Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
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Simplify and automate reporting and other data-driven activities; build solutions to have maximum scale.
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Proactively identify improvement opportunities and understand how our users interact with our products through systematic and rigorous measurement and analysis.
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Develop a deep understanding of specific areas of the business and the key metrics to measure the performance of the product.
OTHER
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Participate and contribute to data discussions with the goal to enrich data and business understanding.
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Act as an ambassador for DP World at all times when working; promoting and demonstrating positive behaviors in harmony with DP World’s Founder’s Principles, values and culture; ensuring the highest level of safety is applied in all activities; understanding and following DP World’s Code of Conduct and Ethics policies.
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Perform other related duties as assigned.
QUALIFICATIONS, EXPERIENCE AND SKILLS
- Bachelor’s or Master’s degree in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute
- Having 7+ years hands-on experience with Product and Business analytics, preferably in logistics domain
- Strong business acumen
- Expert knowledge of Excel, SQL, and Python.
- Good grasp of A/B testing, statistics, and application of data science algorithms.
- Experience with building dashboards in power BI/ Tableau or other data visualization tools.
- Excellent written and verbal communication skills
- Intellectual curiosity and high motivation to solve challenging problem
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