Digital Strategist

WHY JOIN US?- We practice a vibrant & energetic office culture.- We provide opportunities for career advancement within the company.- Good performance is always rewarded accordingly.

“_It's our people that make Astro Malaysia’s leading entertainment company. We are an inclusive employer, to enable everyone at Astro to be their best. We embrace differences - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products/services and our community. We also understand and appreciate that diversity is a driver of creativity and innovation, which will make our business more competitive, compelling and profitable._”

JOB RESPONSIBILITIES:
The Digital Strategist for Astro Media Solutions will be joining a high-performing and collaborative team that works hard and fast to grow and maintain strong relationships with direct clients and media agencies. As an integral part of the Media Sales team, this role will be primarily responsible for the following:
Digital ADEX Growth and Positioning
- Develop and advocate digital as the central offering in all media plans, emphasizing the impact of digital touchpoints.
- Establish Astro Digital as the go-to platform for digital-first brands in Malaysia by showcasing Astro Unique capabilities.

Supporting Sales and Strategic Pitches
- Working closely with sales representatives and marketing services to design and implement integrated campaigns that leverage Astro's diverse media channels, including TV, radio, and digital platforms.
- Support the sales team in client meetings and pitches, helping articulate digital’s role in achieving campaign objectives.
- Customise pitch materials to show the complementarity of digital advertising within broader media strategies.

Identify Upsell Moments:

- Evaluate campaigns/brands for moments where digital add-ons could amplify results, using data to present clients with tailored upsell recommendations.

Foster Open Communication with Clients:

- Maintain regular campaign updates with clients to build transparency and trust.
- Suggest proactive adjustments mid-campaign, such as targeting refinements or creative changes, to optimise outcomes and enhance the client’s experience.

Collaborate with the Digital Product Team
- Identify gaps in the digital product suite by gathering sales and client feedback on missing tools or desired features.
- Pilot new solutions with select clients, gather feedback, and refine products in collaboration with the product team to align with market needs.

Ensure Seamless Campaign Execution
- Establish and document clear workflows for the setup, execution, and reporting of digital campaigns to streamline processes and reduce errors.
- Integrate quality control checkpoints at critical campaign phases (pre-launch, mid-campaign, and post-campaign) to ensure accuracy and consistency.

Focus on Stakeholder Experience
- This commitment to a supportive, solution-oriented environment builds trust and strengthens Astro’s relationships with clients and internal teams alike, driving impactful results and lasting partnerships. Key components include:

- Streamline Workflows: Design efficient workflows for all campaign phases, reducing delays and ensuring smooth execution.
- Supportive Problem Solving: Actively address challenges, providing quick solutions to keep campaigns on track.
- Prompt Communication: Respond quickly to stakeholder inquiries, ensuring timely updates and alignment.
- Encourage Collaboration: Foster open feedback and communication across teams to improve campaign outcomes and stakeholder satisfaction.

REQUIREMENTS:
Requirements:

- MS degree in a quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering)
- 2 years of relevant work experience in data analysis or related field. (e.g., as a statistician / data scientist / computational biologist / bioinformatician).
- Strong Machine Learning and Data Mining background. Including ability to build and interpret machine learning models of complex, high-dimensional systems.
- Experience processing large-scale data prototyping, then production-level algorithms.
- Ability to work with incomplete or imperfect data to extract usable information.
- Attention to detail, data accuracy and quality of output.
- Experience with large scale distributed data processing frameworks like Hadoop and Spark
- Experience of high-level programming language for analysis (e.g. Spark, Scala, Python, R, Java) a plus
- Highly self-motivated, results driven and data driven. Ability to work in a fast-paced dynamic environment.
- Experience in audience and payment sciences is a plus.
- Traits
- Be positive, passionate, collaborative, self-motivated, responsible, dependable and enthusiastic team player.
- Experience articulating business questions and using mathematical techniques to arrive at an an