Brand Manager jobs in Singapore

Present analysisto wider stakeholders including clients and colleagues within the agency with confidence

Hands-on stakeholder management to ensure that internal and external teams extract maximum value from our solutions

Be familiar with coding to streamline work processes, and have the ability todevelop and deliver new product solutions using programming languages

Successfully work with and manage our Centre of Excellence teams to deliver best-in-class econometric solutions on-time and to the agreed scope-of-work

Collaborate with the Directors and wider team to push forward our media measurement agenda

Make use of our bespoke modelling software, and champion its further development and usage across the Havas group

Be a champion for data-driven decision making throughout Havas

You will help to develop new data science products and solutions to improve agency workflows or bring in new revenue streams

Assist in project leading for multiple revenue-generating econometric modelling solutions

Minimum of two years' hands-on experience in econometric modelling

Strong data storytelling and presentation skills, with the ability to communicate complex findings in a clear and engaging manner

Client-focused approach, ensuring results are delivered with maximum impact on business outcomes

Deep understanding of econometric modelling theory and methodology

Balanced approach to model building, combining statistical robustness with practical client requirements

Creative problem-solving skills, overcoming challenges such as unique sector characteristics or limited data availability

Meticulous approach to data collection and cleansing, with proficiency in Excel and other relevant tools

Experience developing and implementing scenario-planning solutions based on econometric models

Strong organisational skills, managing multiple projects, meeting deadlines, and prioritising tasks effectively

Lead analyst on econometric projects, responsible for data preparation, modelling, and overall project delivery

Expertise in extracting, processing, and transforming diverse datasets

Ensuring all modelling solutions are robust, insightful, and actionable

Ability to create visually compelling and insightful presentations for effective information sharing

Continuous learning and application of econometric theories, analytical techniques, and relevant tools

Interpreting data to uncover and communicate key insights, both verbally and in writing

Supporting and mentoring junior team members, contributing to their training and development

Collaborating with teams across Havas, identifying opportunities in data science (e.g. machine learning) and driving innovation in marketing effectiveness

Staying up to date with industry developments, working alongside the Directors to enhance econometric offerings

Contributing to the development of econometrics industry benchmarking solutions

Modelling and data wrangling experience in Python/R/SQL/Eviews

Experience with pitching analytics work - or a willingness to learn

Experience handling large datasets using SQL/Big Query or learning to do so

Experience in data analysis using non-standard regression methodologies (Bayesian, Cross-sectional) or non-regression approaches

Experience working with the wider analytics team to develop end-to-end solutions to client challenges

A wider perspective of how econometric modelling fits into the wider measurement eco-system

A point of view on the marketplace of marketing mix modelling providers

Familiar with industry topics and modelling solution partners i.e. Meridian, Robyn, Adobe etc

An understanding of media agency data sets and challenges

Exposure to GCP or Web Analytics

Exposure in Data Viz tools (Power BI/Tableau/Data Studio)

Educated at degree level or above ideally econometrics or statistics focused degrees

Familiarity with a range of data sets and industry tools (e.g. Nielsen, YouGov, ONS, OECD, GfK etc)

Is an ambassador for the CSA team, who can represent and promote our team

Is equally comfortable with technical discussion as in describing modelling to the layperson

Is a high energy, positive, can-do person, who is always looking for ways to improve what we do

Loves tackling business questions

Is a curious, strategic problem solver, and loves transforming their modelsinto real-life planning

Has great attention to detail

Feels comfortable working in a fast-paced environment

Is confident working autonomously, but knows when to escalate challenges

Is interested in the latest trends in marketing and modelling