Data Analyst (Middle & Senior Level)

Join Amity Solutions!

At Amity Solutions, we are driven by a powerful vision: to revolutionize the way businesses connect and engage with their customers and employees. Our dedication to innovation and cutting-edge technology has led us to craft a suite of groundbreaking solutions that cater to the digital needs of modern enterprises.

With a focus on enhancing communication, productivity, and customer satisfaction, our core offerings include Enterprise AIChatbot Platform that streamlines interactions, AI-based generative Chatbots that learn and adapt, and pre-built social features designed to enhance the engagement of apps and websites. But we don't stop there. We understand that engaged employees are the heart of successful organizations, and that's why we also offer building blocks for creating captivating employee experiences. These experiences foster collaboration, boost morale, and contribute to a vibrant company culture.

Hundreds of enterprise organizations, including Kasikorn Bank, True ID, and Airasia, have already experienced the transformative power of our AI solutions. Amity Solutions platforms are used to send over 27 million messages per month and enable employee interactions for over 600 thousand end users.

Explore more about us at: https://www.amitysolutions.com

Your impact:

As a Senior Data Analyst (Prompt Engineering focus), you'll work closely with enterprise customers to design, test, and optimize prompts that transform business questions into accurate Natural Language Queries (NLQ). By combining your expertise in data analytics with advanced prompt tuning techniques, you'll enable customers to interact with their data more intuitively, unlocking faster insights and smarter decision-making. Your work will directly shape how customers leverage AI-driven analytics within Amity's product ecosystem.

Your team:

Our team partners with enterprise customers to deliver analytics solutions enhanced by AI and NLQ capabilities. We focus on creating seamless user experiences that bridge complex data systems with natural, conversational access. By fostering a culture of innovation and data-first thinking, we help organizations drive adoption of advanced analytics and empower business users with AI-enhanced insights.

Your day-to-day responsibilities:

• Prompt Engineering: Design, refine, and evaluate prompts to improve NLQ generation accuracy and reliability.
• Prompt Tuning for Analytics: Tailor prompts to adapt to different customer domains and datasets, ensuring contextual correctness.
• Data Analysis: Analyze customer datasets to understand use cases and align prompt strategies with real business needs.
• Customer Collaboration: Partner with customers to identify their analytical questions and convert them into effective NLQ patterns.
• Testing & Evaluation: Develop frameworks to benchmark NLQ outputs for precision, recall, and business relevance.
• Integration Support: Work with engineering teams to integrate prompt-tuned NLQ solutions into dashboards, reports, and data pipelines.
• Documentation & Training: Document prompt strategies and provide guidance to customers and internal teams on best practices.
• Research & Innovation: Stay up-to-date on advancements in LLMs, NLQ frameworks, and prompt engineering techniques to enhance solutions.

Your ideal profile:

• 3-5 years of experience in data analysis, with strong proficiency in SQL and intermediate proficiency in Python.
• Hands-on experience with prompt engineering and tuning techniques for LLMs.
• Experience working with enterprise customers and delivering AI-driven data solutions.
• Familiarity with NLQ systems, vector databases, or big data technologies (e.g., Spark, Hadoop) is a plus.
• Strong problem-solving and communication skills, with the ability to explain AI/LLM outputs to non-technical stakeholders.
• Native in Thai with good command of English

Check out more about our company, Bangkok team and our benefits - Amity Bangkok

What's in it for you:

Amity is an equal opportunity employer and welcomes applications from all qualified individuals regardless of ethnicity, sex, disability, religion/belief, sexual orientation or age.