Data Analyst, Revenue Operations

Posted 13 Days Ago
Be an Early Applicant
Indonesia
Mid level
Artificial Intelligence • Information Technology • Consulting
The Role
The Data Analyst, Revenue Operations will design and disseminate dashboards, optimize SQL queries, ensure data quality, maintain documentation, and collaborate with teams to extract insights from large datasets.
Summary Generated by Built In

Description

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
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
  • 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

Top Skills

Python
SQL
The Company
145 Employees
On-site Workplace
Year Founded: 2019

What We Do

Reimagining customer engagement, Wati is the leading conversational platform built on WhatsApp's Business API. Our easy-to-use software empowers 8,000+ businesses across 100+ countries to deliver personalized, real-time conversations at scale.

With innovative AI solutions, we're transforming how companies communicate:
Shared inboxes allow seamless collaboration
Powerful automation boosts efficiency
Broadcast messaging engages customers
Intelligent chatbots provide instant support

As a fast-growing global SaaS startup, we're passionate about using technology to build meaningful relationships between businesses and customers. Our talented, driven team is united by a vision to empower organizations and redefine connections through meaningful conversations

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