Malaysia Job Openings
Astro
Digital Strategist
FULL TIME
November 4, 2024
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We practice a vibrant & energetic office culture.
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We provide opportunities for career advancement within the company.
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Good performance is always rewarded accordingly.
- 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.
- 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.
- Evaluate campaigns/brands for moments where digital add-ons could amplify results, using data to present clients with tailored upsell recommendations.
- 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.
- 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.
- 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.
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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.
- 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 answer using available data. Experience translating analysis results into business recommendations.
- Demonstrated skills in selecting the right statistical tools given a data analysis problem. Demonstrated effective written and verbal communication skills.
- Demonstrated leadership and self-direction. Demonstrated willingness to both teach others and learn new techniques.
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