Campaign Data Analyst – Recommendation & Leads Management

Are you ready to get ahead in your career?

• We want to empower you to turn your ambitions into achievements.
• We thrive in inclusiveness, diversity and embrace close collaborations for you to create impact for yourself and others.
• Together, we aim to bring the best of technology to help people, businesses and the nation to be ahead in a changing world.
• To realise our vision to become Malaysia’s leading converged solutions company, we are looking for a new talent to innovate and grow with us in a culture that values commitment, performance and possibilities.

Why does this job exist and why is it critical?​

We are seeking a highly skilled and analytical professional to join our team in overseeing and implementing advanced decisioning strategies for our Postpaid Base Marketing, Fiber, and Hotlink base marketing efforts.

The ideal candidate will have a strong background in data science, analytical modeling, and decisioning systems, with a focus on translating business requirements into actionable data-driven insights. The role will require collaboration with cross-functional teams, testing new concepts, and applying data-driven solutions to enhance our marketing and loyalty programs.

What are you accountable for?
•    Decisioning Strategy Development:
Oversee the initiatives of Postpaid Base Marketing, Fiber, and Hotlink base marketing by designing, implementing, and optimizing decisioning strategies and frameworks. Work closely with business teams to translate marketing objectives into effective decision-making models.
•    Data Modeling & Analysis:
Apply analytical models and data science techniques to identify trends, opportunities, and optimize marketing efforts. Collaborate with business stakeholders to understand current product and business operations and develop additional data model sets to support the decisioning process.
•    Cross-Functional Collaboration:
Work with cross-functional teams, including business, product, and engineering teams, to gather business requirements, define decisioning architectures, and configure rules within the system. Leverage data insights to drive impactful decisions across marketing campaigns.
•    Testing and Proof of Concept (POC):
Develop and test decisioning concepts as proof of concepts (POC) before presenting final recommendations to business users. Monitor results and iterate strategies to ensure maximum effectiveness.
•    Rewards & Loyalty Program Optimization:
Utilize a data scientist mindset to identify opportunities for improving and enhancing the Rewards and Loyalty programs through data-driven insights and predictive modeling.
•    Continuous Improvement & Learning:
Stay up to date with the latest trends in data science, marketing analytics, and decisioning technologies to improve the efficiency and effectiveness of marketing strategies.

What do you need to have for the role?
•    Bachelor’s degree in Data Science, Business Analytics, Computer Science, or related field. 
•    Total of 2 - 3 years of working experience in data science, marketing analytics, and/or decisioning systems.
•    Strong knowledge of data modelling techniques, statistical analysis, and predictive analytics.
•    Proficiency in data analysis tools and programming languages such as Python, R, SQL, etc.
•    Strong communication skills to present complex data insights and recommendations to both technical and non-technical stakeholders.

What’s next?

• Once you’ve applied online, our team will carefully review your application. Due to a high volume of applications, we appreciate your patience to allow for a fair and timely review process.
• Should you be shortlisted for the role, we will send you an invitation via email for a digital interview. You can also check on your application status by logging into your candidate account.

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