Research & Insights Manager

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.

Research & Insights Manager

We are seeking a highly motivated and analytical individual to join us as a Senior Research and Insights Manager working on marketing effectiveness. In this role, you will play a crucial part in developing and documenting our approach to Marketing Mix Modeling (MMM) and related marketing effectiveness initiatives. You will leverage your understanding of data science principles and Ads products to contribute to internal resources, conduct in-depth analyses, and generate actionable insights that drive impactful marketing decisions.

Work closely with marketing effectiveness research managers and product teams such as GTMs to support data analysis in research and documentation on marketing mix modelling and adjacent themes, with an understanding of our client's products.

Role:

• Based on structures and frameworks created by Marketing Effectiveness Research Manager and GTMs, writing contents of the internal guidebook on mROI consultation for LCS clients, including 3rd party MMM projects and in-house MMM support projects such as Meridian.

• The content includes a technical step-by-step process description for managing 3rd party’s MMM modelling processes and supporting clients’ data scientists.
• Referencing to understand "technical step-by-step process description."
• While you do not have to be familiar with all domains in data science, you should be able to understand technical content in data science, including mathematical descriptions.

• Conducting data analysis on basic modules in marketing effectiveness researchers led by Marketing Effectiveness Research Manager to create proof points of investment in media. “Data analysis” includes the following processes:

• Conducting EDA (Exploratory Data Analysis) to check data distribution, correlation and causal relation.
• Using basic statistical models such as statistical tests, decision tree, clustering, linear regression and logistic regression to consider causal relationships among data.
• Drawing charts and slides to explain the insights to the Marketing Effectiveness Research Manager and the stakeholders where necessary.

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.