Business Analytics Specialist

Business Analytics Specialist Team Data Analytics Location Jakarta, Indonesia Job Type Full-time The role at a glance Get to Know the TeamAt 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 RoleBe 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 Grab's universe of data for building richer insights.Explore new data analytics capability for data-led initiatives across Grab.The Critical Tasks You Will PerformHelp 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 organization's 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. Read more Skills you need What Essential Skills You Will NeedA minimum of Bachelor's 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 . Read more What we offer About Grab and Our WorkplaceGrab 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. Read more Life at Grab Life at GrabWe 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 leaveWe have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hoursWhat We Stand For At GrabWe 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. Read more What’s it like to work at Grab? Play video Meet the Data Analytics team Our Data Analysts harness the power of analytical thinking and sprinkle data-driven insights across every area of Grab’s business. But we don’t just crunch data all day, we collaborate with teams across the company, and love tackling the tricky problems they bring our way. Aside from being platform builders, we do tonnes of detective work to uncover key insights from our data. We’ll continue to experiment and improve the experience so that more users can benefit from our services across Grab. “ ” Want to leave your mark through data-driven product thinking? I know I do, and that’s what drives me to work all day every day! And, what’s even better is working with some of the most intellectual, driven, kind and authentic people I know who are my Grab friends forever! “ ” The Application Process What can you expect when you apply for a role at Grab? Here’s what our hiring process looks like. Step 1: Apply. We have a range of open roles from Marketing to Engineering and everything in between. Find the one that’s best for you and show us why you’re our next teammate. Step 2: Getting to know you. Next, you’ll have a video or phone interview with one of our recruiters to chat about you, the role, and your past work experiences. Step 3: Testing, testing… 123. Some roles might require assessments and/or a technical competency interview. For other roles, there might be an additional interview – speak with your recruiter for application details. Step 4: Is it a culture match? Finally, we’ll find out how we fit together, if your career vision aligns with our mission, how you embody the 4 H's, and your working style and personality.