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Full Job Description
Job Description :
Are you passionate about e-commerce
Are you looking to join a community of business development
professionals that support the growth of small and medium d businesses
Or want to solve complex business problems with strategic impact for a
population of selling partners Amazon, one of the world’s leaders in
e-commerce is looking for an Account Manager (business-development
professionals) to join its Third-Party Marketplace team based in
Dubai, UAE.
Working in a dynamic business development
environment, your role will be focused on contributing to new business
acquisition through lead generation, phone/email-based business
evaluation and supporting the business launch of new sellers – as they
make their wide range of products available to millions of Amazon
customers. You also need to possess strong relationship-building
skills and be able to explore win-win opportunities with partners –
helping them grow their business on Amazon. In addition, you will be
responsible for incorporating feedback from the sellers into new
opportunities to improve Amazon’s products, services, processes,
systems and tools for all 3rd party sellers working with
cross-functional teams.
To be successful in this role you
must have superior analytical, communication, and presentation skills.
Operating in a fast-moving and sometimes ambiguous environment,
working autonomously and taking full control & responsibility for
achieving business objectives.
Key job
responsibilities
- Responsibilities Include Works across
various AMPS team(s) at country, regional and/or cross-regional level
to drive improvements in existing solutions and enable to implement
solutions for customer, cost savings in process workflow, systems
configuration and performance metrics. - Leads projects and
opportunities across the Operations that are business critical for
MENA AMPS. - As a Business Analyst (Automation) you will work
with product, technology and operations teams to drive automation
through deterministic rules set up / Machine learning algorithms
leading to processing of volume at scale. - You will also be
responsible for identifying and driving new opportunities based on
customer and business data and measuring the performance of the same
About the team
MENA AMPS (Amazon Marketplace
Professional Services or ASP360) supports Selling Partners (SPs) with
paid account management services and enhances both CX and SPX via a
suite of unified offerings. We aim to be the preferred choice for SPs
during their Amazon journey to expand and optimize their
businesses.
Basic Qualifications :
. Bachelor’s Degree in a
quantitative discipline (e.g., Statistics, Math, Computer Science,
Data Science, Analytics, or similar) . 3+ years working experience
writing complex SQL queries to perform data analysis . 3+ years of
experience in business intelligence, data analyst, or related
quantitative functions . 5+ Experience building measures and metrics,
and developing reporting solutions . 2+ Experience in scripting for
automation (e.g. Python and Excel VBA) and advanced SQL skills. .
Experience writing and optimizing SQL queries to work with
complex/large datasets . Proven ability to structure complex analysis
and perform the analysis to drive insights . Proficient in visualizing
data through tools like QuickSight, Tableau or similar tools . Proven
analytical/problem solving skills and attention to detail, including
the ability to recognize non-obvious patterns/predictors, with the
ability to propose insightful hypotheses . Experience in taking a
project from scoping requirements through launch . Experience solving
business problems using statistical, machine learning, or other
modeling Technique
Preferred Qualifications :
. Master’s or
higher degree in an analytical area such as Computer Science,
Mathematics, Statistics, Engineering . E-Commerce, Retail experience
preferred . Experience working closely with product and tech teams
developing large scale data products . Demonstrated analytical skill
in prediction, data validation, and optimization problems . Experience
in theory and practice of Design of Experiments and statistical
analysis of results
