Data Analyst– Product Data & AI Quality

Описание

As a Data Analyst on the team, you’ll be the person who knows this data best. You’ll own its quality: defining what “correct” looks like, building the ground truth our models are measured against, and finding where things break and why. You’ll work closely with the engineers and scientists who build our LLM and ML pipelines, and with Product, turning what you find into clear priorities. Your work will also directly support our customers: partnering with our customer-facing teams on deep-dive analyses, and investigating and fixing the data gaps that matter most to clients. It’s a role for someone curious and hands-on, who enjoys digging into data, uses AI tools to move faster, and wants to see their analysis directly shape the product.

Responsibilities

• Analyzing product, brand and category data to find gaps, errors and opportunities to improve coverage and accuracy
• Defining quality metrics and building the dashboards and checks that track them over time
• Building and maintaining ground-truth datasets and labeling guidelines, and running labeling processes
• Evaluating the output of LLM and ML models: error analysis, comparing approaches, and turning findings into concrete improvements
• Using LLMs and AI tools to speed up analysis, labeling and data review
• Helping define and maintain taxonomies and classification rules together with Product
• Supporting client-related needs with our customer-facing teams, from in-depth analyses of specific market segments to investigating and fixing data gaps raised by clients
• Validating new data sources before they are added to the product
• Partnering with Product and engineering to translate findings into requirements and priorities

Requirements

• Holds a B.Sc. in Industrial Engineering, Statistics, Economics, Computer Science or another quantitative field
• Has 2+ years of experience as a data analyst, preferably in a tech company
• Has strong SQL skills
• Uses Python for data analysis (pandas, notebooks) - Must
• Has a solid understanding of statistics and evaluation metrics: sampling, precision/recall, confidence levels
• Has hands-on experience using LLMs for data work, such as prompting, structured outputs or reviewing model outputs
• Has strong attention to detail and a structured approach to messy, ambiguous data
• Communicates clearly in English and can present findings to Product, engineering and customer-facing teams

Nice to have

• Has experience with labeling, taxonomies or data quality processes
• Has experience with e-commerce or product data
• Has experience with BI and visualization tools

We offer

• Collaborating with colleagues in-office creates a more connected, unified culture
• Ability to work partially from home
• Competitive perks & benefits
• Competitive compensation packages to all employees
• Strong emphasis on community, with regular team outings and happy hours
• Opportunities to grow your career in any direction you choose: Career Week, personalized coaching, ongoing learning solutions
• A workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work