Data Analyst

Description

Passionate about food? Eager to join a dynamic SaaS startup shaping the food and beverage industry? Tastewise is just the place for you. 

Tastewise: The GenAI-powered consumer data platform revolutionizing product strategies and driving success for major brands like Nestle, Pepsi, and Campbell’s. With insights from billions of data points, we empower our clients to create, market, and sell their products faster and more successfully.

Join this $10 trillion industry, where creativity and an entrepreneurial mindset drive daily success and reach the homes of billions of people in an industry where change isn't just a recipe but a way of life.  

Let's shape the future of food together.

About the role

We are looking for a highly organized, detail-oriented, and communicative Data Analyst to join our growing team. This is an exciting opportunity for an early-career analyst with a solid technical foundation and a hunger to work with complex, unstructured datasets.

You’ll collaborate across teams, analyze data quality, help build robust methodologies, and ensure our data pipeline fuels best-in-class insights.

Responsibilities

• Analyze and validate large volumes of structured and unstructured data to ensure completeness, accuracy, and relevance.
• Identify data gaps in web scraping processes and propose structured testing methodologies to improve data reliability.
• Collaborate with product, data, and engineering teams to streamline data flows and support scalable insight generation.
• Clearly communicate findings and recommendations through visualizations, documentation, and presentations.
• Prioritize and manage tasks in a high-paced environment while meeting tight deadlines.
•  Assist in designing and refining prompt engineering workflows for AI-powered insights (a plus).

Requirements

• ~2 years of experience in a data-related role, ideally in a technology or data-focused company.
• Proficiency in SQL and working with large datasets.
• Experience working with unstructured data and deriving structure from ambiguity.
• Exceptional organizational skills and ability to multitask.
• Strong verbal and written communication skills in English.
• Demonstrated ability to work in a fast-moving, deadline-driven environment.
• 4 days from the office

Bonus Points For:

• Experience with prompt engineering for AI or LLM-based systems.
• Previous involvement in web scraping workflows, especially in analyzing scraping success, identifying data loss, and improving scraping methodologies.
• Familiarity with data validation techniques and QA processes for data quality assurance.
• Exposure to analytics tools like Python (Pandas), Tableau, or similar.