Senior Data Analyst, Market Insights

Company Description

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Job Description

Get to Know the Team

The Market Insights Team helps shape strategic and operational decisions in the company by providing compelling insights into industry developments, market movements and competitive dynamics in the businesses that Grab operates - namely transport, food, payments, and platform services. Our value proposition comes from the diverse lenses through which we evaluate the landscape, made possible by many offbeat techniques used to complement traditional research.

Get to know the Role

Reporting to the Lead Data Scientist and you will be based onsite in Grab Malaysia office. Our team comprises individual from varied backgrounds, each bringing a unique set of experiences and skills to the table. Someone who excels at teamwork, and can navigate through uncertainties would succeed in this role. In this role, you will be building and evaluating models and data sources to enable decision making across Southeast Asia.

The Critical Tasks You Will Perform

• You will define metrics as well as develop models to understand the competitive landscape across multiple segments of Grab's business.
• You will work with various stakeholders to define data requirements to allow the calculation of your metrics and models.
• You will evaluate the validity and usefulness of different data of varying sources and types.
• You will ensure the integrity of the data you use and produce, identifying anomalies and their root causes, and work with stakeholders to address these anomalies where they exist.
• You will develop pipelines for the work you do, including pipelines for the models you build.
• You will understand how Grab's products and businesses relate to your data, metrics, and models, and take actions or make recommendations using this knowledge.
• You will conduct in-depth data analysis and create insights to influence Grab's strategic and operational decision-making.

Qualifications

What Essential Skills You Will Need

• At least 4 years of experience working in data-related or quantitative fields.
• You are fluent with SQL, Python, R or other scripting/programming languages, and have hands-on experience using at least one of them.
• You have solid statistical knowledge and hands-on experience using this knowledge to generate insights.
• You are passionate about solving problems, and are proactive at work.
• You are comfortable navigating ambiguity, and are creative in problem-solving.
• You are able to convey complex concepts in a clear manner to diverse audiences comprising generalists and specialists.

Additional Information

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balance personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.