[Hiring] Data Analytics Lead Dubai UAE

­Position: Data Analytics Lead

Date posted: 2024-05-28

Industry: Telecom – Digital Payments

Employment type: Full Time

Experience: 3 to 5 year

Qualification: Bachelor’s Degree holder

Salary: AED 5000 to 10000

Location: Dubai, United Arab Emirates

Company: Linnk Group

Description:

Greetings from Linnk Group…

We are seeking a proficient and experienced Data Analytics Lead to join our esteemed telecom client in the UAE.

As the Data Analytics Lead, you will play a pivotal role in shaping and implementing our data strategy in alignment with business objectives.

Contract: Yearly Renewable

Location: DUBAI, UAE

Notice to Join: Immediate to 30 Days

Key Accountabilities:

• Developing and implementing a data strategy aligned with business objectives.
• Managing data lifecycle, including acquisition, in-life usage, storage, transformation, and disposal.
• Defining and Overseeing data governance practices to ensure data quality, accuracy, and compliance with regulations.
• Ensuring compliance with data protection regulations, developing, and implementing privacy policies, and managing data security.
• Collaborating with other business units to understand data needs and requirements.
• Providing guidance, mentorship, and support for team members.
• Collaborating with business leaders, executives, and other stakeholders to understand their data needs and priorities.

 Knowledge and skills:

• Knowledge of data modeling, database design, and data warehousing.
• Experience in Digital transformation projects.
• Proficiency in analytics tools and platforms (e.g., SaS Visual Analytics, Tableau, Power BI, Qlik).
• Knowledge of data security best practices. Familiarity with data privacy regulations and compliance requirements (e.g., GDPR, CCPA).
• Knowledge of Financial services/banking-specific compliance requirements.
• Ability to perform statistical analysis and apply data visualization techniques.
• Strong analytical skills to interpret complex datasets and extract actionable insights.
• Proficiency in programming languages commonly used in data analysis (e.g., Python, R).
• Ability to write and understand SQL queries for data retrieval and analysis.
• Project management skills to oversee data and analytics initiatives.
• Knowledge of vendor management principles and experience in selecting and working with external data-related service providers