Head of Analytics & Insights

Client of Salt; Dubai; On-site; AED 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a seasoned leader to establish and lead their data science and analytics framework. This pivotal role involves building a high-performing team, driving data-driven strategies, and collaborating across departments to create impactful data products. You'll leverage your extensive experience in data science and analytics to automate decision-making processes and generate actionable insights. If you thrive in a fast-paced environment and are passionate about using data to drive business success, this opportunity is perfect for you.

Qualifications

• 10+ years in data science and analytics, with 5+ years in subscription management.
• Proficient in machine learning algorithms for business needs.

Responsibilities

• Lead a high-performing Data Analytics Team and drive data science initiatives.
• Work cross-functionally to create data products and promote adoption.

Skills

Data Science

Analytics

Machine Learning

Segmentation

Decision Making

Education

Bachelor's Degree in a related field

Master's Degree in Data Science or Analytics

Tools

SAS

Power BI

Job description

This role is to establish and lead my client's data science and analytics framework, driving a sustainable advantage through data-driven strategies.

Responsibilities include:

1. Building and managing a high-performing Data Analytics Team, as well as leading the scoping, roadmap development, and tooling for data science initiatives.
2. Working cross-functionally with CVM, Sales, Content, Tech, and Marketing teams to create data products and promote their adoption.
3. Driving business impact by automating tactical decision-making through automated machine learning decision engines.
4. Generating data insights, knowledge, and execution capabilities in segmentation and target lists for various teams.
5. Organizing internal and external data to build churn prediction models, developing algorithms, and maintaining process accuracy.

Qualifications and Experience:

• Minimum 10 years of relevant experience in data science and analytics teams.
• At least 5 years of experience in subscription management businesses.
• Proficiency in SAS and Power BI is required.
• Experience with machine learning algorithms for prediction and segmentation tailored to business needs.

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