Data Analyst

About Company:

Our client is a Palo Alto–based AI infrastructure and talent platform founded in 2018. It helps companies connect with remote software developers using AI-powered vetting and matching technology. Originally branded as the Intelligent Talent Cloud,enabled companies to spin up their engineering dream team in the cloud by sourcing and managing vetted global talent. In recent years, they have evolved to support AI infrastructure and AGI workflows, offering services in model training, fine-tuning, and deployment—powered by their internal AI platform, ALAN, and backed by a vast talent network. They reported $300 million in revenue and reached profitability. Their growth is driven by demand for annotated training data from AI labs, including major clients like OpenAI, Google, Anthropic, and Meta.

Job Description:

Job Title: Data Analyst/Data Scientist

Location: Pan India

Experience: 3+ yrs.

Employment Type: Contract to hire

Work Mode: Remote

Notice Period: - Immediate joiners

Roles & Responsibilities:

Role Overview:

We're looking for an experienced Data Analyst/ Data Scientist who is strong in SQL and understands how product data works, who has built schemas, debugged data quality issues, and explained to someone why two dashboards show different numbers for the same metric.

What does day-to-day life look like:

You will define the data infrastructure behind these product teams - what tables exist, what events fire, what breaks. Think of it as designing the realistic data environment an analyst would actually query. We are building an AI benchmark and need realistic data artifacts - Big Query schemas, SQL queries, event taxonomies, metric definitions. You will write and review these, making sure they are technically accurate and include the kind of data quality issues you would see in real systems.

Requirements

• 3+ years data analytics or data science
• Strong SQL (complex queries, CTEs, window functions) and understanding of dimensional modeling (fact/dim tables)
• Experience with product event data (Segment, Amplitude, Mix panel patterns)
• Big Query experience and Familiar with data quality challenges and how to handle them