Regional Data Analytics (Analyst / Snr Analyst / Manager)

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:

· Be our expert in using data to measure and analyse business performance in each our markets and lines of business.

· Explore business issues/opportunities, uncover insights and/or identify targeted areas for business growth.

· Partner with management and operational teams to deep dive on core issues and use our data to find answers.

· Collaborate with various expert teams to rollout effective products/services and to expand Grab’s universe of data for building richer insights.

· Lead new data analytics capability rollouts and/or data-led initiatives throughout Grab.

The day-to-day activities:

· Monitor key metrics and alert the business on potential issues.

· Analyse operational efficiency and build business models to guide decision-making.

· Design market/business intelligence reports and performance measurement dashboards.

The must haves:

· A Bachelor's/Masters degree, preferably in Analytics, Statistics, Economics or Engineering

· Minimum 2-5 years relevant work experience in an analytics or insights related role.

· Above 5 years work experience with team management (experience) for Manager.

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

· Strong foundation in data query/manipulation using SQL and data visualisation using tools like Tableau.

· Experience using R, Python or other tools for statistical analysis is a strong plus.

· Effective communicator to both technical and business audiences

· 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.