• Dhaka

Daraz is hiring Regional Lead Analyst – Business Intelligence 2022 in Dhaka

Job Responsibilities:

  • Own key, high-impact domains spanning 5 countries and multiple stakeholders, including day-to-day oversight of the buyer fraud domain
  • Extract, deep-dive into, & manipulate large sets of data organized, in a well-structured data warehouse designed for exploration and functionality using various tools available in Alibaba’s ecosystem
  • Use your problem-solving and critical thinking skills to identify trends, conduct root cause analyses, and generate high-impact, ad-hoc analyses
  • Liaise with business units to recommend and drive implementation of fraud-mitigating strategies and policies which directly and significantly reduce our risk profile
  • Build, maintain and produce reports and dashboards that give key insights to colleagues from all departments at Daraz, including senior management, and prepare business cases to support strategic business decisions
  • Work with the fraud manager and different teams across the company to innovate and implement tools to drive business performance improvement and cost efficiencies
  • Develop detailed targets, forecasts, and business models so that strategic and business targets are met

Daraz is the leading e-commerce marketplace across South Asia (excluding India). Our business covers four key areas – e-commerce, logistics, payment infrastructure and financial services – providing our sellers and customers with an end-to-end commerce solution. With access to over 500 million customers in our markets, we strive to deliver on our promise of enabling easy access to a wide assortment of products while bringing users on an interactive and personalised journey.

Location:

Bangladesh

Benefits

  • An international working environment in a start-up setting, and a unique opportunity to learn from the best in e-commerce (Alibaba Group) and business growth.
  • A platform to learn from Alibaba’s world-leading ecosystem.
  • Rigorous training and exposure in team management, leadership, business analytics, and operations.
  • An opportunity to train the next generation of business leaders in the ‘tech’ industry.
  • Competitive salary and incentive package

Eligibilities

Candidate Requirements:

  • More than 4 years of related work experience is desirable, especially in analytical fields like data science, consulting, finance, fraud management etc.
  • Bachelor’s degree from a top university in a quantitative subject – a background in engineering, business intelligence, data science, mathematics, economics, statistics or computer science preferred
  • Strong numerical and reasoning skills are essential
  • Advanced skills in Microsoft Excel and proficiency in SQL are essential
  • Go-getter attitude, willing to immerse themselves in the business, with a proactive approach to getting things done – results-oriented, detail-oriented and self-driven.
  • Superior organizational skills to manage multiple priorities to tight deadlines and the flexibility to adapt to changing scope.
  • Excellent verbal and written communication skills, with the ability to successfully negotiate with different stakeholders across various businesses.
  • Prior experience working with automation tools such as Python will be a plus
Eligible Regions: Bangladesh

Application Process

To apply click “Apply now” or visit the official link

Application Deadline: November 30, 2022

Application ClosedOfficial link

For Further Queries

Check the official link
Disclaimer: Youth Opportunities spreads opportunities for your convenience and ease based on available information, and thus, does not take any responsibility of unintended alternative or inaccurate information. As this is not the official page, we recommend you to visit the official website of opportunity provider for complete information. For organizations, this opportunity is shared with sole purpose of promoting “Access to Information” for all and should not be associated with any other purposes.

Log in with your credentials

Forgot your details?