Data Lead, Market Analyst

Get to Know the Role:

The team takes on some of the most challenging market research in the fields of transport, food delivery, payments, and platform services. We apply both traditional and offbeat techniques to form key analytical perspectives of the ever-changing market. We promote a culture where we enjoy raising the bar constantly for ourselves and others, and that strongly supports the freedom to explore and innovate.

The day-to-day activities:

• Lead and manage a small team to deliver key results within a short timeframe.

• Set achievable goals and take initiative to envision and explore new methods of research.

• Use quantitative tools to provide uncover strategic and operational insights on various business verticals, regional markets, competitors, competitive benchmarking and any aspect of the external environment to help shape key stakeholders' perspectives.

• Explore, analyze and aggregate data sets to provide actionable information. Create intuitive visualizations to convey broader these results to key stakeholders. Gather, analyze and disseminate insights.

• Explore and create new data sources from time to time to further the team’s information-gathering capabilities.

Market Analyst (Data) is not characterized by the following:

• Specializing in ETL, pipelining and other data infrastructure tasks. Though it is common to build and maintain some pipelines, we have a dedicated Data Engineering team for this.

• Building, training and deploying machine learning models to production in support of our App. Most production models related to our App are managed by our Engineering and Data Science teams.

• Responding to ad-hoc data requests from business teams. 

The Must-haves:

• Strong leadership ability to guide and nurture subordinates.

• Minimum 2 to 5 years’ experience leading teams.

• A Bachelor's degree in any field.

• Strong foundation in data query/wrangling using SQL, python/R/Scala and data visualisation using tools like Tableau.

• An attitude of self-motivation, effective time management, and the ability to operate in a dynamic and fast-paced working environment.

• Experience in machine learning. 

• Experience in business, strategy and/or tech consulting would be an advantage.