Business Analyst in Data & Analytics at LUXASIA transforming transaction, marketing, and operational data into strategic decisions. Partnering with stakeholders to unlock insights and guide business impact.
About the role
- Data engineer responsible for data pipelines and customer-facing analytics at AI-driven content platform. Collaborate with product and engineering to enhance data features in a fast-growing startup.
Responsibilities
- Own the data pipelines that power customer-facing analytics. You define what done means, you ship it, and you stand behind it
- Design and maintain the serving layer that delivers citation rates, share of voice, and mention trends to customers across ChatGPT, Perplexity, Gemini, and beyond, with strong guarantees on accuracy, freshness, and latency
- Work directly with product and engineering to ship data-powered features
- Build enrichment pipelines that shape raw data into the derived entities our product depends on
- Set the data engineering foundation as the first dedicated hire in this function, working closely with our VP of Engineering.
Requirements
- 5+ years of hands-on engineering experience with clear evidence of owning a data-powered product surface
- Strong in Python and SQL, with hands-on experience in ClickHouse, Redshift, or similar OLAP systems at product scale
- You own things without being asked and drive them to closure
- You have the range to hold your own in a technical architecture discussion and ship the thing the same week
Benefits
- Equity in a fast-growing startup
- Competitive benefits package tailored to your location
- Flexible time off policy
- Parental Leave
- A fun-loving and (just a bit) nerdy team that loves to move fast!
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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