Senior Online Manager – ALSHAYA – Dubai

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Senior Online Manager – E-commerce – UAE
Job no: 2311691
Location: Dubai
Dubai Head Office
 
eCommerce

eCommerce is an exciting new support function within Alshaya as the business launches transactional websites for a number of the 75+ brands and 15+ countries within the Alshaya portfolio. The function is rapidly building Alshaya’s multi-channel capability to deliver customers’ choice and convenience when shopping in a number of rapidly growing online emerging markets. The function is split in to 4 key areas – Trading & Merchandising, Operations & Program Management, Design & Content and Digital Marketing.
 
The Role:
 
Responsible for online marketing spend, execution and optimization of online marketing budgets and online marketing campaigns, whether paid, or unpaid, through online or offline channels, is responsible for web advertising technologies and overall web advertising information architecture.
 
Experience and profile requirements:
 
8-10 years in eCommerce digital marketing, with focus on customer and lead acquisition, across retail verticals.
Has managed online acquisition teams for at least 5 years, with direct acquisition budget responsibilities.
Ideal candidate comes from an online hypergrowth business based in digitally matured western markets, focused on lead and customer acquisition with multi-million USD budget responsibilities and especial focus on PPC channel.
In-depth knowledge of digital advertising tools (e.g. DoubleClick) and advertising technology landscape such as digital media buying platforms, advertising optimization platform, ad servers technology ad networks, mobile advertising solutions, social advertising tools is required.
High level of proficiency on PPC (and other forms of SEA) including real-time biding techniques, keyword generation techniques, SEO, social marketing (e.g. YouTube, Instagram, Facebook, or other), re-targeting and display advertising and digital PR, good understanding of offline channels advertising such as print, TV or radio.
Professional profile: Numbers driven, has a strong commercial ethos and a “trader’s mentality”.
About Us:
M.H. Alshaya Co. is a leading international franchise operator for nearly 90 of the world’s most recognised retail brands including Starbucks, H&M, Mothercare, Debenhams, American Eagle Outfitters, P.F. Chang’s, The Cheesecake Factory, Victoria’s Secret, Boots, Pottery Barn and KidZania. The company operates over 3,900 stores across diverse customer sectors: Fashion & Footwear, Health & Beauty, Food, Optics, Pharmacy, Home Furnishings and Leisure & Entertainment.

Alshaya’s stores can be found in markets across the Middle East and North Africa, Russia, Turkey and Europe and the company employs more than 53,000 people from over 120 nationalities.

The company has established itself as the industry leader across these territories through a combination of local market understanding and a comprehensive commitment to customer service. Growth in each of its operating divisions and brands is supported by continuous investment in talent and infrastructure. It applies best practices in retail operations, merchandising, marketing, information technology, logistics, real estate, human resources and financial controls.

M.H. Alshaya Co. is the retail business of the Alshaya Group, which was founded in Kuwait in 1890 and today represents one of the most dynamic companies in the Middle East. In addition to its retail operations, the Alshaya Group is active in a number of other sectors including real estate, automotive, hotels, trading and investments.

Online Manager wanted – Alshaya HQ – Dubai

alshaya logo dubai

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alshaya logo dubaiOnline Manager – Ecommerce – UAE
Job no: 2279842
Location: Dubai
Dubai Head Office
 
eCommerce
 
eCommerce is an exciting new support function within Alshaya as the business launches transactional websites for a number of the 75+ brands and 15+ countries within the Alshaya portfolio. The function is rapidly building Alshaya’s multi-channel capability to deliver customers’ choice and convenience when shopping in a number of rapidly growing online emerging markets. The function is split in to 4 key areas – Trading & Merchandising, Operations & Program Management, Design & Content and Digital Marketing.

Role description: Web analytics (Google Analytics Universal or 360) subject matter expert for the Central eCommerce division. Responsible for business requirement gathering, solution documentation and validation of implementation. Will deliver reports, data analysis and actionable insights to web store trading, UX and trade marketing teams. Delivers analysis and recommendations that supports continuous improvement to onsite merchandising, customer experience and journey as well as optimizing customer acquisition, conversion and retention.

Responsibilities:

Accountable for implementing a consistent approach to web analytics (Dashboards / Reports / Alerts) BI reporting that is scale-able and easy to replicate for additional online brands/markets

Web analytics lead for the delivery of custom reports to communicate key metrics, insight, conclusions and recommendations to the business

Responsible for delivering engaging reports and persuasive presentations of conclusions that drive decisions to support customer journey and experience improvements to optimise conversion

Responsible for working closely with IT development to ensure data accuracy and quality in all web analytic tool implementations

Accountable for creating, co-ordinating and managing the implementation of web analytics workshops (training, requirement review and support) with online business teams to ensure web analytics and insights are utilised effectively to support decision making

Responsible for reviewing and auditing current implementations to ensure all interactions are tracked and measured accurately

Responsible for supporting digital marketing teams through development of segmentation analysis and develop multi-channel attribution models

Champion a test and measuring culture, utilising all available data to help identify candidate areas of Alshaya’s ecommerce web sites where customer experience could be improved

Responsible for working collaboratively with cross functional teams to define business requirements for new web sites and analytical tool implementations

Responsible for ensuring a quality driven UAT approach and providing support for pre-release testing and quality assurance feedback for analytic code implementations

Responsible for cascading knowledge of web analytic tool product development and web analytics trends / best practices to the business

Responsible for defining relevant KPIs to reflect customer’s behaviour and value in order to track them on regular basis (Customer Profitability, Customer Lifetime Value (CLV) and Channel Attribution)

Experience and profile requirements:

3+ years in Web Analytics and a subject matter expert in Google Analytics (Universal or 360), Google Tag Manager, Conversion rate optimization and AB Testing.

Ideal candidate comes from B2C omnichannel or pure play large eCommerce business in a mature ecommerce market.

Professional profile: Analytical and numbers driven, strong problem solver and easily conveys insights for change from data.

Data Science Analyst wanted – ADCB bank – Abu Dhabi

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ADCB bank Abu Dhabi logo

Expiry Date: 2018/12/30
Ref. JB3847527
Analyst – Data Science
 
Job Description
JOB PURPOSE
 
To apply advanced analytics and data science techniques/approaches and produce MIS reports/dashboards in order to support modeling activities, reporting and campaign execution
 
ACCOUNTABILITIES

Data Science:
Determine and apply the right supervised/non-supervised machine learning technique(s) using all types of data sources (For example; online/offline, structured/unstructured) in order to solve various analytical problems and use cases Measure, document and communicate the pact/return on investment (ROI) of delivered use cases/analytical models and propose necessary updates/refinements in order to maintain the accuracy of developed models Attend forums/seminars/courses and conduct research/reading in order to stay up to date on the latest analytical/big data/machine learning developments and make recommendations/suggestions on the most effective modeling approaches
 
Reports and Dashboards
: Develop consistent/standardised report formats and continually refine ‘on demand’ MIS/dashboards for key stakeholders in order to ensure/maintain accuracy of information/data provided

Policies, Processes, Systems and Procedures:
Adhere to all relevant organisational and departmental policies, processes, standard operating procedures and instructions so that work is carried out to the required standard and in a consistent manner while delivering the required standard of service to customers and stakeholders

Self-Management
: Manage self in line with the bank’s people management policies, procedures, processes and practices to ensure adherence and to maximise own contribution to business performance

Customer Service
: Demonstrate Our Promise and apply the ADCB Service Standards to deliver the bank’s required levels of service in all internal and external customer interactions

Skills
EXPERIENCE, QUALIFICATIONS & COMPETENCIES

Minimum Experience

At least 2 – 4 years of experience in data science with knowledge of advanced analytics techniques and big data tools and hands on experience of business/data analysis

Minimum Qualifications

Bachelor’s Degree in Statistics, Physics, Mathematics, Computer Science, Engineering or related field

Knowledge and Skills

Knowledge of machine learning and data mining techniques (Regression, decision tree, neural network, random forest, SVM

etc.) and statistics concepts

Experience in handling large amounts of all types of data from different sources

Proficiency with SAS and SQL

Experience with visualization tools (Tableau, QliK Sense, SAS VA etc.)

Microsoft Office (Word; excel and PowerPoint)

Knowledge of programming languages (Python, Java, Scala, R)

Experience with the Hadoop ecosystem (MapReduce, Hive, Pig, Spark, HBase etc.)

Ability to work in a multidisciplinary environment (IT, Business, Marketing etc.)

Analytical and data interpretation skills

Planning and time management skills

Written and verbal English