Data Analyst, 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 a Data Analyst, Revenue Operations who can thrive in both dynamic and routine environments. This is a fully remote position, offering you the flexibility to work from anywhere while collaborating with a global team. 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. Proficiency in SQL is a must. 

More experienced candidates can be considered for a Senior Data Analyst, Revenue Operations position.

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

• 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
• 3+ 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 and communication 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