Head of Analytics & Insights

OSN; Dubai; On-site; AED 120,000 - 180,000; Full time

Job summary

An established industry player is seeking a Data Science Leader to spearhead their analytics initiatives. This pivotal role involves building a high-performing Data Analytics Team and transforming data into actionable insights. You will collaborate with various departments to create impactful data products and drive strategic decision-making. The ideal candidate will have extensive experience in data science, particularly in subscription management, and will be adept at using tools like SAS and Power BI. Join this innovative firm and play a crucial role in shaping data-driven strategies that enhance business performance and customer engagement.

Qualifications

• 10 years of experience in data science and analytics teams.
• Strong analytical background with machine learning expertise.

Responsibilities

• Lead the data science framework and analytics initiatives.
• Develop predictive models and drive data-driven decision-making.

Skills

Data Science

Analytics

Machine Learning

Statistical Analysis

Problem-Solving

Communication Skills

Leadership

Education

Bachelor’s degree in Computer Science

Tools

SAS

Power BI

Job description

Job Purpose

The primary objective of this role is to establish and lead the company’s data science and analytics framework, driving a sustainable competitive advantage through data-driven strategies. This includes building and managing a high-performing Data Analytics Team, as well as leading the scoping, roadmap development, and tooling for data science initiatives.

The role will be instrumental in transforming data into actionable insights, delivering business analysis, predictive algorithms, and models aligned with best-in-class data practices.

Key responsibilities include the development and implementation of advanced analytics solutions, predictive and behavioral models, and customer segmentation frameworks. These efforts will support both tactical execution and long-term strategic decision-making across the organization.

Key Accountabilities

Planning & Organization

1. Working cross-functionally with CVM, Sales, Content, Tech & Marketing teams to create data products and establish the adoption of these products.
2. Driving bottom-line business impact through automating tactical decision making through automated machine learning base decision engines and through data fed strategic decision making.
3. Run periodic business reviews with C-level stakeholders to ensure strategic alignment and momentum on key initiatives.
4. Drive data insights, knowledge and execution capability in segmentation and target lists for CVM, Sales, Content, Tech & Marketing teams
5. Organize internal and external data to build churn prediction models, develop the appropriate algorithms, and update all the process flow to maintain its accuracy
6. Define the requirements and the evolution of next-best-action tools, contextual marketing, recommendation engines and segmentation/behavioral models
7. Communicate with the rest of the organization and Business Intelligence team to set standards for data system developments, data gathering requirements, input sources, data organization and data definitions
8. Track data quality and liase with other departments and BI team to keep inflow of the good quality data.
9. Work with internal and external partners to deliver the roadmap, necessary tools and the execution of the planned initiatives

Financial Excellence (budgets, revenue/profit and costs)

1. Budget Data Science and Analytics requirements including other data tools
2. Keep track on budget spend and forecast from a data science and analytics perspective
3. Support teams across the company in meeting data-driven budget goals

Customer Excellence (internal/external customer engagement and relationship management)

1. Act as a catalyst for change by championing data-driven decision-making across the organization
2. Build a healthy and collaborative relationship with CVM, Sales, Content, Tech & Marketing teams
3. Collaborate with external partners for best-practices and proof of concepts for data projects

People Excellence (internal/external customer engagement and relationship management)

• To create an environment which is a great place to work for you and your colleagues through your dedication, enthusiasm, sharing of knowledge, honesty and desire to support others.
• To display excellent standards in all you do and inspire others to do the same, and that you operate within legislative/regulatory and company policies and procedures.
• Continuously develop own skills by attending all required training courses and maintaining an up to date knowledge of products, services, systems and work processes.

Qualifications, experience, skills and competencies

Experience required:

• 10 years of relevant experience in data science and analytics teams
• 5+ years of experience in subscription management businesses, where a customer’s lifecycle is a clear driver for revenue. Consultancy, media, Streaming services experience is a plus
• SAS and Power BI experience is a must.
• Demonstrate strategic and tactical abilities across long-range strategic planning, medium-term OKRs, and driving short-term execution. Strong analytical and/or quantitative background.
• Machine learning: using machine learning algorithms to develop prediction/ segmentation for specific business needs.
• Statistical analysis: to understand and work around possible limitations in models
• Hypothesis testing: being able to develop hypothesis and test them with careful experiments

Education requirement:

• Bachelor’s degree in Computer Science, Information systems, operations research or similar.

Knowledge & Skills:

• Strong communication skills
• Team leader and inspirational
• Organization ability to lead multiple activities and tasks
• Problem-solving approach to complex issues with a structured thinking approach
• Clear big picture view and business strategy understanding
• Articulate clearly the implications of analytics and insights
• Create examples, prototypes, demonstrations