Senior Analyst/Manager, Marketing Analytics

Get to know the Role:

Marketing Analytics team in Grab is responsible for data infrastructure, measuring the impacts of the campaign and making recommendations through segmentation & modeling to drive revenue growth, spend and acquire/retain users on our platform. Working closely with various teams within Grab (Marketing, Data, Engineering etc.) to understand data requirements, identify and track key metrics, and provide data-driven insights that are tailored and relevant to marketing evolving needs.

The day-to-day activities:

• Determine campaign objectives and develop campaign measurement plans to ensure these objectives are measurable

• Define campaign methodologies that could be adopted across the organization and keep informed on the latest methodologies to measure the effectiveness

• Understand business requirements and work objectives in order to analyse relevant customer data sets and propose actionable recommendations that would support the decision-making and marketing campaign planning process.

• Ensure that all campaigns have a defined KPI enabling us to measure marketing effectiveness

• Shape the development of Grab’s Marketing BI infrastructure including Data Warehousing, reporting and analytics platforms to enable campaign measurement.

• Develop reporting, toolkits, and dashboards for marketing teams to optimise campaign performance, across digital and offline channels

• Conduct in-depth analyses and provide insights based on regional and country marketing needs

• Providing support and training marketing team on BI tools and methodologies

The must haves:

• Bachelor degree in Statistics, Analytics, Economics, Mathematics, Engineering or other quantitative subjects are required.

• Knowledge of analytical tools, including Excel (VBA, Pivot), database querying (SQL), relational databases, Tableau, R, SAS, etc – preferred

• Strong analytical experience in measuring marketing effectiveness through campaigns, preferably in e-commerce or internet industry.

• Fundamental understanding of internet advertising technologies (cookies, DSP, SSP, RTB) and the marketing channel attribution model.

• Ability to work with complex data sets, and combine data from multiple sources into a single dashboard/reporting system.

• Fast learner; ability to acquire new technical skills as needed.

• Versatile, self-driven, detail-oriented.

• Good communication skills.

• Full professional working proficiency in the English language is required.

• Programming skills such as Python will be an advantage.

• We use technologies like Holistics and Tableau. Any background in these or similar technologies is definitely a plus.