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Group Product Analyst II

DP World

Bengaluru, INonsitePosted Jul 21, 2026
Posting intelligenceActively listedReposted 5×, possible evergreen/ghost posting

Skills

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About the role

KEY ACCOUNTABILITIES

Work closely with the Business, Product and Technology teams to develop world class systems and processes.

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.

Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.

Simplify and automate reporting and other data-driven activities; build solutions to have maximum scale.

Proactively identify improvement opportunities and understand how our users interact with our products through systematic and rigorous measurement and analysis.

Develop a deep understanding of specific areas of the business and the key metrics to measure the performance of the product.

OTHER

Participate and contribute to data discussions with the goal to enrich data and business understanding.

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.

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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