Senior Product Analyst

Get to Know the Team

The Communications Platform team manages the full lifecycle of every critical communication sent across Grab. We are responsible for empowering our business and delivering truly delightful personalized and reliable experiences for all our consumers and partners.

Our extensive and exciting scope includes:

• Intelligent Optimization: Developing the optimization and personalization layers that make every message smarter and more relevant.
• Core Channels: Owning all of Grabs crucial two-way communication channels (e.g. in-app chat push notifications).
• Empowering Tools: Building the powerful internal tools that enable marketing and operations teams to easily create and manage large-scale impactful campaigns.

We drive innovation and operational excellence by turning data into actionable strategies that elevate the end-to-end experience for consumers driver-partners and merchant-partners. From optimizing communication flows and user experience to enhancing system reliability we strive to make Grab the first choice every time.

Get to Know the Role

You will report to the Product Analytics Manager Communications Platform Team and youll have the unique opportunity to collaborate across disciplines (Product Business Engineering Design Data Science) to transform data into dynamic solutions. Your insights will directly contribute to developing groundbreaking products and initiatives setting new benchmarks for excellence. This isnt just any role; its a chance to make a tangible impact on millions of lives every day. This is a full-time role based in Jakarta office.

The Critical Tasks You Will Perform

• Dive deep into data to align with business objectives recommending novel data-driven solutions including AI/ML strategies to address key customer challenges.
• Define track and measure critical business metrics. Develop analytical frameworks and sophisticated models to examine product configurations and validate hypotheses.
• Design implement and analyze rigorous A/B tests and experiments to guide product decisions ensuring findings lead to clear data-backed recommendations.
• Proactively define and monitor key metrics performing root cause analysis on metric shifts or anomalies to quickly deliver actionable insights.
• Transform complex data into concise high-quality insights via reports and dashboards for executive decision-making and contribute to data pipeline and custom data science model development.

Qualifications :

What Essential Skills You Will Need

• You have at least 4 years of experience in data-related or quantitative fields such as Analytics Science Statistics or Mathematics.
• You are fluent with SQL Python R or other scripting/programming languages.
• You are experienced in handling large datasets and maintaining complex Extract Transform and Load (ETL) processes.
• You have solid statistical knowledge and hands-on experience running and analysing controlled experiments.
• You are proficient in creating dashboards using Tableau PowerBI or other visualisation tools.
• Be able to speak and write in English language with fluency

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 lifes challenges.
• Balancing personal commitments and lifes 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 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.

Remote Work :

No

Employment Type :

Full-time