DP World
Group Data Analyst
Job Description
KEY ACCOUNTABILITIES
Primary Accountabilities:
- End-to-end ownership of data analytics and data science workstreams
- Work closely with the Business, Product and Technology teams to develop world class systems and processes.
- Analyse trade data form various sources, connect the dots between seemingly disjoint datasets, identify patterns in data and derive meaningful conclusions.
- Build, maintain and improve complex data analysis models that help our senior management track their business and take strategic decisions
- Leverage business context and objectives, to develop, implement, fetch and measurement data plan
- Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
- Simplify and automate day to day work stream.
- 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 Accountabilities
- 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 behaviours 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
- 2-5 years of experience in building and implementing data analytics models
- Strong knowledge of either R or Python (both is a plus)
- Strong knowledge of Excel, SQL
- Experience in data mining and data analytics
- Experience in extracting, transforming the data and making a presentable analysis for a given problem
- Willingness to learn and adopt best practices in statistics, BI, predictive modelling and ML
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