Country and Marketing Analytics Manager

Company Description

About Grab and Our Workplace

At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we create economic empowerment for the people of Southeast Asia.

Job Description

Get to know our Team

Grab - the leading super app in Southeast Asia - combines transport, food delivery, logistics, payments, and much more in a single platform. The Country & Marketing Analytics (CAMA) team helps us by being countries analytics consultant and strategic partner for partners such as operation & strategy, marketing, and growth function, deciphering the impact on our business, our brand and our users growth, to expand the outcome of future programs.

Get to know the Role

We are looking for a Country and Marketing Analytics Manager to lead data scientists (analytics) team which support Delivery (GrabFood, GrabMart), "Omnicommerce", and Commercial (Partnership, Ads, and Brand Monetization) business, a person experienced in balancing people management,, and technical data science expertise. You have passion not only in growing, coaching, and inspiring the team but also bringing analytical frameworks to our team member to lead strategy and help bridge the gap between data science decisions. You'll reporting to Marketing Analytics Manager II. The working arrangement for this role is hybrid.

The Critical Tasks You Will Perform

• You will explore business, marketing, and growth opportunities, uncover insights, and identify areas for growth.
• You will work with marketing growth and product marketing teams that influence main user growth decisions.
• You will develop and test data-driven hypotheses to address main challenges.
• You will partner up with the marketing and growth team in accomplishing, and evaluating projects and broaden Grab's data capabilities for deeper insights.
• You will develop analytics measurement frameworks, user segmentations, and channels attribution techniques to improve efficiency in solving problems.
• You will support team members in their professional development. Inspiring and coaching them to grow as individuals and as team players.

Qualifications

What Essential Skills You Will Need

• We are looking for someone with at least 6 years in Analytics, Business Intelligence, or Data Science role.
• You have expertise in maintaining high measurement standards, designing and analysing experiments, using SQL/Python for data queries/analysis, and proficient in data visualisation tools like PowerBI.
• You have experience with Big Data technologies such as Spark and PySpark. Experienced in handling large datasets and able to guide team members managing complex Extract, Transform and Load (ETL) processes.
• You have a foundation in statistics and practical experience with controlled experiments in the industry.
• You have experience influencing marketing or growth decisions based on quantitative analysis.
• You can help, narrowing down multiple options into the best approach, and take ownership of open-ended ambiguous business problems. Propose novel solutions that go beyond common practice

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.

What we stand for at Grab

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