Customer Data Specialist

Roles and responsibilities

As a CRM and Customer Data Manager on the Atlantis Dubai marketing team, you will be working across the entire data strategy covering data acquisition, customer lifecycle management, data quality, governance, data activation, and automated journeys. In addition, you will have responsibility for our key CRM channels: email, SMS, push, and WhatsApp. This role offers a great opportunity for the right candidate to further grow and develop their skills in a world-class hospitality organization.

Another key part of this role will include being familiar with the CRM landscape and data literacy, which is crucial for this role. We are looking for an Atlantean with a positive attitude, who is motivated and willing to jump in to make the most of this opportunity.

About You

To be successful in this role, you will have 5+ years’ experience in a similar CRM-based role, and have experience in Salesforce Marketing Cloud, as well as experience or exposure to Content Stack, Tealium CDP, and PowerBI. You will have working knowledge of HTML and Photoshop and a solid knowledge of marketing metrics and business KPIs.

It is also essential that you have experience in a fast-paced environment with competing deadlines and priorities and are fluent in English, possessing excellent oral and written communication skills. You will also have strong presentation skills to engage internal audiences.

Desired candidate profile

• Personal Information:
  • Name: The full name of the customer.
  • Contact Information: Email, phone number, mailing address.
  • Demographics: Age, gender, marital status, occupation, education level, etc.
  • Location: Geographic information, such as city, state, country, or zip code.
• Behavioral Data:
  • Purchase History: Products or services a customer has purchased, frequency of purchases, transaction amounts, and dates.
  • Website Interactions: Data on which pages a customer visits, how long they stay, and the actions they take (e.g., clicking buttons, adding items to a shopping cart).
  • Email and Communication Engagement: Open rates, click rates, and responses to promotional emails or newsletters.
  • Product Usage: How often a customer uses a product or service, including features they interact with most.
• Psychographic Data:
  • Lifestyle Information: Hobbies, interests, and personal preferences.
  • Values and Beliefs: What motivates or influences a customer's purchasing decisions (e.g., sustainability, price sensitivity).
  • Customer Sentiment: Emotional connection with the brand or feelings about products/services (often captured via surveys or feedback).
• Transactional Data:
  • Transaction Details: Payment method, order value, and any associated loyalty points or discounts used during a purchase.
  • Frequency and Recency: How often a customer buys from the business and how recently they have made a purchase.
  • Refunds and Returns: Data on any refunds or product returns initiated by the customer.
• Engagement Data:
  • Social Media Interactions: Data from social media platforms regarding likes, shares, comments, or follows.
  • Loyalty Programs: Points collected, rewards earned, and frequency of program engagement.
  • Survey Responses: Feedback collected through customer surveys, product reviews, or ratings.