Business Analytics Specialist

Get to Know the Team

At Grab Support Regional Analytics (GSRA) we believe that delivering safe and exceptional services to our customers requires a collaborative effort. To ensure the highest quality of support in the industry we rely on experienced and experienced data analysts to provide applicable insights that guide Grab Support Operations in making decisions that benefit our end-users. The GSRA team also humanizes big data acts as a bridge between the technical and operational sides of the business and uses data to align with strategic goals.

You will join a high-performing team that is deeply committed to delivering the best for our end users. You will directly report to the manager. The role will be based onsite.

Get to Know the Role

• Be the expert in using data to measure and analyze business performance across markets and lines of business.
• Explore business issues and opportunities uncover insights and identify targeted areas for business growth.
• Partner with management and Grab Support Operations to deep dive into core issues and use data to find actionable solutions.
• Collaborate with various expert teams to roll out effective products/services and expand Grabs universe of data for building richer insights.
• Explore new data analytics capability for data-led initiatives across Grab.

The Critical Tasks You Will Perform

• Help develop and implement data-driven analytics solutions for Grab Support and Regional COE functions focusing on operational process optimization enhancing performance metrics and driving productivity improvements.
• Partner with cross-functional teams to identify data requirements and design innovative analytical solutions or insights to address complex challenges effectively.
• Conduct in-depth analyses of operational data including business/impact analysis and text analysis to identify areas for improvement and process optimization.
• Develop dashboards to monitor the performance of Grab Support operations support specialists and the business overall.
• Utilize advanced statistical and machine learning techniques such as quasi-experimental methods NLP & LLM to analyze large datasets and derive meaningful insights that drive business decisions improve support performance and mitigate risks.
• Stay up-to-date with industry trends emerging technologies and best practices in analytics and data science leveraging this knowledge to enhance the organizations data-driven capabilities.
• Collaborate with data engineering teams to ensure data quality integrity and accessibility while building data pipelines and infrastructure for analytics projects.
• Communicate complex analytical findings to all stakeholders including senior management through concise reports presentations and visualizations.

Qualifications :

What Essential Skills You Will Need

• A minimum of Bachelors degree in Analytics Statistics or Engineering or any related field.
• At least 2 years of experience in Analytics Business Intelligence or Data Science roles preferably in an Internet or Direct-to-Consumer company with large complex high-velocity data.
• Proficiency in Big Data technologies such as Spark PySpark and Databricks.
• Strong foundation in data query/manipulation using SQL and data visualization tools like Power BI.
• Experience in Snowflake and multidimensional modeling .

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 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.

Remote Work :

No

Employment Type :

Full-time