Manager - Customer Analytics - Starbucks - UAE

؜ - ؜Dubai ؜ -

Job details

Job no: ‎577105
Location: UAE
Dubai Head Office
Starbucks
From the beginning, Starbucks set out to be a different kind of company. One
that not only celebrates coffee and the rich tradition, but that also brings a
feeling of connection. Starbucks coffeehouses have become a beacon for coffee
lovers everywhere because they know they can count on genuine service, an
inviting atmosphere and a superb cup of expertly roasted and richly brewed
coffee every time. It 's not unusual to see people coming to Starbucks to
chat, meet up or even work. Starbucks is a neighborhood gathering place, a
part of the daily routine - and we couldn't be happier about it. Get to know
us and you'll see: we are so much more than what we brew. Starbucks prides
itself on its people, or 'partners' as we call them. We strive to develop each
partner to achieve their career goals, whether this is to become a district
manager, Coffee Master or work within one of our Head Office functions.
Role Profile:
We are looking for an experienced and ambitious Manager to join our growing
Insights & Analytics team and help Starbucks MENA to become a data-driven,
customer-centric organisation.
The right candidate will combine a passion for problem-solving and rigorous
analysis, technical aptitude and ability to learn new techniques, and a hands-
on approach. As we build our team, he/ she must be able to work effectively
and produce results without requiring detailed instructions or processes to
follow. He/ she will play a pivotal role in developing our data and analytics
capabilities, and will work with the Senior Manager to define our initial and
long-term technical set-up.
The below Key Performance Areas include but are not limited to:
As a key part of our Insight and Analytics team, the Customer Analytics
Manager will consistently:
 Clean, manipulate, transform and harmonize customer datasets to ensure
accuracy, validity and completeness, and to optimize analysis
 Identify, analyze and interpret trends, and discover hidden patterns in
complex structured and unstructured data sets, including primary research data
 Identify and execute the analysis required to provide consistent, robust KPI
reporting
 Conduct analysis that will help us drive continuous improvement in customer
acquisition and retention, our loyalty program, the effectiveness of our
website, conversion through our digital channels, and the efficiency of
digital marketing across multiple markets
 Prepare and validate financial projections for marketing initiatives to
measure the top-line and bottom-line impacts of our activities
 Conduct analysis that rapidly detects changes in customer behavior,
diagnoses the driver(s) behind this change, and proactively make data-led
recommendations to the Marketing team 
Analyze the impact of marketing campaigns and make recommendations to optimize
future campaigns
 Identify, create and update targetable audience segments and customer
segments by blending online and offline data from a range of sources, and
creating segmentation algorithms
 Conduct ad-hoc analysis and create bespoke reports aimed at maximizing
growth opportunities, optimizing media spend, and counteracting negative
trends
 Explore ways to improve data collection, and make recommendations for
research
 Contribute toward the establishment of a data-driven decision-making culture
across our channels
 Contribute toward the development and application of statistical and machine
learning tools and techniques to respond to specific business problems
 Contribute towards the development of improved data and insight
visualization, including KPI dashboards, that support the businesses'
understanding of relevant trends and insights
Knowledge:
Holds a BA/BS in Business, Statistics or Mathematics (preferred), or Computer
Science, Marketing or a related field. 
Expert knowledge of Google Analytics (Universal) 
Google accreditations preferred
 Expert knowledge in common analytics tools (Microsoft Excel, including Pivot
Tables, Macros and VLOOKUPs,) and visualization tools (QlikView/Tableau or
equivalents)
 Expert knowledge of lookalike modelling and datamining techniques
 Deep knowledge of advanced statistical techniques and concepts (regression,
properties of distributions, statistical tests and proper usage, etc.)
 Expert knowledge of, and experience with a customer data platform (e.g.
Exponea), Salesforce Marketing Cloud, or similar
 Familiarity with CRM systems
 Good understanding of the MarTech landscape and how it will evolve in the
near future
Experience:
 Over ‎5 years of experience focused on customer analytics, ideally in a B2C
retail business
 Experience of working in an omnichannel retail business is a valuable plus 
Track record of consistently delivering and optimizing routine business data,
reporting and analysis (including management KPIs)
 Track record of completing ad-hoc/ bespoke analysis in support of business
objectives
 Proven experience developing and implementing new processes and techniques
for customer analytics is essential
 Experience with statistical computer languages (R, Python, etc.) preferred
 Experience in querying and manipulating datasets using SQL (advanced
knowledge of SSQL required) or Python 
Solid experience and knowledge of technical and non-technical documentation
best practices (Change Requests, Business Requirements, etc.) to support
effective implementation
 Experience of creating reports and presentations to explore findings and
make business recommendations
 Experience of managing primary research, via third-party agencies
 Experience working in a fast-paced and demanding environment, effectively
interacting with many cross-functional teams
Skills:
Functional:
Project management; data manipulation and statistical analysis; developing
business recommendations; developing analytical and reporting tools; primary
research management, qual and quant; good understanding of omnichannel retail
and marketing is a valuable plus
Non-functional:
Ability to work quickly, responsively and with an openness to embrace new
ideas and ways of working; ability to prioritize tasks effectively; managing
stakeholders across the internal team, agencies and partnerships; effective
communication and presentation skills
Additional role requirements:
 Proactive and can-do attitude; exceptional analytical abilities and hunger
to develop further; ability to inspire and engage others, and develop a
positive, success-oriented and data-driven culture
About Us:
Alshaya Group is a dynamic family-owned enterprise which was first established
in Kuwait in ‎1890. With a consistent record of growth and innovation, Alshaya
Group is one of the world 's leading brand franchise operators, offering
customers an unparalleled choice of well-loved international brands,
including: Starbucks, H&M, Mothercare, Debenhams, Cos, American Eagle
Outfitters, P.F. Chang's, The Cheesecake Factory, The Body Shop, M.A.C,
Victoria's Secret, Boots, Vavavoom, Pottery Barn and KidZania.


Alshaya Group's portfolio extends across MENA, Russia, Turkey, and Europe,
with thousands of stores, cafes, restaurants and leisure destinations, as well
as a growing online and digital business.


Operating in multiple sectors including Fashion, Food, Health & Beauty,
Pharmacy, Home Furnishings and Leisure & Entertainment, Alshaya Group
colleagues are united by a commitment to delivering great customer service and
brand experiences.


Fresh, modern, and relevant, Alshaya's constantly evolving retail portfolio
reflects the choices and lifestyle of its customers. From flagship stores and
restaurants in prestige malls, to local coffee shops, drive-thrus and online,
Alshaya Group brings customers the brands they love in the places they want to
be.
Advertised: ‎04 May ‎2023 Arabian Standard Time
Application close: ‎03 Jun ‎2023 Arabian Standard Time

Job Summary

  • Advertiser: Alshaya
  • Announcement date: 04/05/2023
  • Type of employment: -
  • Experience level: -
  • Educational level: -
  • Job location: Dubai
  • Salary: -
  • Phone number: -
  • Email:

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