Regional Data Analytics

Get to know our Team:

We focus on humanizing big data, be a bridge between the technical and operational (market) side of business and to use data in order to align with strategic goals.

If you like a good challenge and love to find new ways of interpreting data then you’re a perfect fit.

Get to know the Role:

• Deep dive into drivers of business performance in each of our markets (and lines of business) using advanced statistics, predictive models and other needed techniques.
• Explore business issues/opportunities by uncovering customer insights and/or identify targeted areas for business growth.
• Partner with management and operational teams to answer complex multivariate business questions and use our vast dataset to refine decision-making.
• Collaborate with other analytics, data engineering & data science teams to build central data science & analytics products and to expand Grab’s universe of data for building richer insights.

The day-to-day activities:

• Develop econometrics-based and/or predictive models to uncover causal relationships between key business drivers (e.g. combination of pricing, promo and rewards) and business outcomes (e.g. rides, revenue, active users).
• Extend, localise and optimise data science models developed regionally (eg. Pax LTV, Dax churn scoring) to each country and drive the usage/interpretability.
• Identify optimal customer segment attributes to develop predictive insights & recommendations for increasing customer stickiness and cross-product usage.

The must haves:

• A Bachelor's/Masters/PhD, preferably in Analytics, Mathematics, Statistics, Economics, Optimization and other relevant fields
• 2 years relevant work experience in a data science team.
• Strong foundation in data query/manipulation using SQL and data visualisation using tools like Tableau.
• Strong hands on skills using R or Python in implementation of data science techniques on vast data.
• Experience in Spark (Scala / PySpark) is preferable.
• Passionate about solving problems – possesses a relentless need for investigation and data exploration.
• Results and detail-oriented, with strong intuitions on how to solve problems creatively and quickly.
• Experience in business, strategy and/or tech consulting would be an advantage