Homeoffice Data Analyst Intern (Revenue Operations)

Wati is a fast-growing CPaaS platform that provides end-to-end WhatsApp API solutions for SMBs and large enterprises. We aim to simplify business communication, helping businesses meet their customers where they are - WhatsApp. Backed by global investors such as Sequoia, DST Global, and Tiger Global, we're Shopify's first investment in a startup in Southeast Asia. Headquartered in Hong Kong and trusted by 8000+ customers across 100+ countries. We're a rapidly expanding team filled with talented people from around the globe.

We are searching for an (Intern) Data Analyst, Revenue Operations who can thrive in both dynamic and routine environments. This role will require you to handle Data Dashboards, Daily Data Request, ensuring that day-to-day operations run seamlessly while pushing strategic initiatives forward. You will be expected to deliver results consistently and on time, even when juggling multiple priorities.

If you’re a proactive, growth-minded individual who asks "why" before getting things done, and you’re comfortable with the mental and physical demands of high-growth SaaS, we’d love to hear from you. Prior experience in SQL is a must.

Job Description

• Design, build, and disseminate dashboards or other self-served data products to enable stakeholders to get quick business performance, conduct data exploration, or derive quick insights
• Optimize SQL queries to improve dashboard performance and data retrieval efficiency
• Ensure data quality and integrity across all Dashboards
• Create and maintain documentation for BI processes, dashboards, and reports
• Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions
• Analyze large datasets to extract actionable insights for both internal and external stakeholders
• Our tech stack: BigQuery, DBT, Python, Github, Google Looker Studio

Job Requirements

• Passionate in data, analysis, or insights with high curiosity and skepticism.
• Master's or Bachelor's degree in quantitative fields or a relevant field of study
• 0-2 Years of experience in a data role experience
• Experience working with one or more languages for querying (e.g. SQL)
• Familiarity working with BI tools (e.g Looker Studio) is strongly preferred
• Experience working with multiple stakeholders across various divisions
• Exceptional interpersonal skills
• Self-starter with a can-do attitude
• Familiarity with data warehousing/data modeling (e.g. DBT) will be an advantage
• Familiarity with advanced analytics languages like Python or R will be an advantage