at the company, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.
our unique data and solutions empower thousands of customers globally, including industry giants like google, ebay, and adidas, to make game-changing decisions that drive their digital strategies.
in 2021, we went public on the new york stock exchange, and we continue to reach new heights! come work alongside our teammates across the globe who are bright, curious, practical, and good people.
were looking for a data analyst to join our r&d department!
why is this role so important at the company?
our retail intelligence products help leading brands and retailers understand how their products, brands and categories perform online. behind them is data collected from retailers and marketplaces around the world, each describing products in its own way. we use llms and ml models to classify, normalize and structure that data into a single, trusted view.
as a data analyst on the team, youll be the person who knows this data best. youll own its quality: defining what correct looks like, building the ground truth our models are measured against, and finding where things break and why. youll 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.
its 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.
so, what will you be doing all day?
your daily responsibilities may include:
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: this is the perfect job for someone who:
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
has experience with labeling, taxonomies or data quality processes (advantage)
has experience with e-commerce or product data (advantage)
has experience with BI and visualization tools (advantage)
at the company, collaborating with our colleagues in-office creates a more connected, unified culture. our best work is a product of our face-to-face collaboration, with the ability to work partially from home.
This position is open to all candidates.