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Salary
$79k – $136k per year (Estimated)
Location
In office (Singapore)
Employment
Full-Time
Overview
Company
Impact
Profile match
Maker Lab is a marketing consultancy established in 2015 with a talent-centric approach, designed to build and run in-house micro-agencies alongside our clients. Collaborating with culture brands like YouTube, Netflix, Amazon, and Google, we embed cross-functional teams of multidisciplinary marketing specialists into our clients' ecosystems to help drive business growth and marketing efficiencies. Our solutions span various marketing services and have expanded to include marketing strategy and creative production for digital and content marketing, data analytics, CRM, as well as influencer engagement and social media management.

Grounded in a talent-centric mindset, Maker Lab is a marketing agency designed to build decentralised technology-led agency teams, rooted in collaboration with clients from the ground up. Maker Lab’s cross-functional teams of multidisciplinary specialists are embedded into client teams across digital marketing competencies - from measurement & analytics to content production.

Role Summary:

You'll drive business efficiencies and strategic growth for clients across APAC by combining operational planning with deep analytical rigour. Operating in a fast-paced environment, you will bridge the gap between complex datasets and marketing execution-using data modelling and quantitative insights to evaluate campaign performance, optimise budget allocation, and solve complex business problems.

Responsibilities:

  • Conduct deep-dive business analysis and data modelling to support crucial marketing investment decisions.
  • Drive and support strategic, analytical, and operational projects across cross-functional regional teams.
  • Manage annual and quarterly planning, including data-backed budget modelling and headcount allocation processes.
  • Establish key performance frameworks, campaign maturity benchmarks, and metrics to continuously evaluate marketing efficiency and ROI.
  • Identify opportunities to streamline cross-functional approvals, automate reporting workflows, and simplify operational processes.
  • Distil data-driven learnings and best practices from various initiatives and syndicate across functions.
  • Craft compelling, insight-backed narratives to communicate complex marketing data simply to executive stakeholders.

You:

  • BA/BS degree or equivalent practical experience.
  • 8+ years of experience in an analytical, strategy, or operations role within high-growth tech environments, management consulting, or corporate strategy.
  • Proven technical data fluency: hands-on experience working with datasets and analytical tools (e.g., SQL, BigQuery, Tableau, PowerBI) to extract actionable business insights.
  • Advanced Google Sheets / Excel capabilities for building financial, operational, and performance models from scratch.
  • Ability to translate complex datasets into simple, intuitive executive communications-balancing deep analytical rigor with practical actionability.
  • Distinctive problem-solving and quantitative analysis skills combined with strong business judgment.
  • Track record of thriving in fast-paced, matrixed environments with high agility and quick decision-making cycles.
  • Exceptional verbal and written English communications and presentation skills and - ideally - fluent in another Asian language to cover projects across APAC.

Please note: due to the high volume of applications, only successful candidates will be contacted with a follow-up introduction email. If you do not receive an email from Maker Lab, your application has been unsuccessful this time around. Look out for future roles! By submitting your application, you consent to the collection, use and disclosure of your data by the Maker Lab team for the purposes of your application. Where your application contains personal data of third parties, you confirm that you have obtained all necessary consents to provide the Maker Lab team with such personal data and that we may collect, use and/or disclose such data in accordance with the Personal Data Protection Act 2012.

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