Strategic Insights Senior Analyst

Get to know our Team:

• GrabFood is the fastest growing startup within Grab and is growing rapidly towards becoming the region’s #1 provider of food delivery services, conquering a trillion dollar market in the most exciting region in the world.

• We are looking for a data cruncher who enjoys mining and analyzing complex information to turn it into a revenue-generating gold mine.

• 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.

• Ensure close working relationship with data engineering team.

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, Holistics and Chartio.

• 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

• You thrive in an environment that is entrepreneurial and extremely fast-moving.