Senior Data Analyst - Finance Data Warehouse

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 Our Team

We focus on humanizing big data, bridging the gap between technical and operational teams, and using data to align with strategic goals. If you enjoy challenges and love discovering new ways to interpret data, then you'll be a perfect fit in our team.

Get to Know the Role

You will be the expert in using data to analyze performance across markets and lines of business. You will partner with management and operational teams to dive deep into core issues and use data to provide solutions. Additionally, you'll collaborate with expert teams to roll out products and services, expanding Grab's data universe for richer insights and leading new data analytics capabilities within the Finance Data Warehouse. You'll reporting to Principal Data Scientist (Analytics). You will be based onsite in Grab Jakarta office.

The Critical Tasks You Will Perform

• Design market/business intelligence reports, performance measurement dashboards, and other data products, with a focus on the Finance domain.
• Work with Finance Operations teams and Engineers to integrate new Grab products
• Provide expert insights and guidance on questions related to finance data.
• Lead the rollout of new data analytics capabilities in the Finance Data Warehouse and lead data-led projects across Grab.
• Collaborate with teams to build richer data insights and support product/service rollouts.

Qualifications

What Essential Skills You Will Need

• Bachelor's degree in Analytics, Statistics, or Engineering.
• 4+ years of experience (or multiple internships) in Analytics, Business Intelligence, or Data Science in an internet or 'Direct to Consumer' company with complex, high-velocity data.
• Foundation in SQL for data query and manipulation, and experience with data visualization tools like PowerBI.
• Experience with DBT, Snowflake, and multidimensional modeling.
• Experience with Big Data technologies (e.g., Spark, PySpark, and Databricks).

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 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.