Data Analyst

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, 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.

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

1. Holds a B.Sc. in Industrial Engineering, Statistics, Economics, Computer Science or another quantitative field
2. Has 2+ years of experience as a data analyst, preferably in a tech company
3. Has strong SQL skills
4. Uses Python for data analysis (pandas, notebooks) - Must
5. Has a solid understanding of statistics and evaluation metrics: sampling, precision/recall, confidence levels
6. Has hands-on experience using LLMs for data work, such as prompting, structured outputs or reviewing model outputs
7. Has strong attention to detail and a structured approach to messy, ambiguous data
8. Communicates clearly in English and can present findings to Product, engineering and customer-facing teams
9. Has experience with labeling, taxonomies or data quality processes (advantage)
10. Has experience with e-commerce or product data (advantage)
11. Has experience with BI and visualization tools (advantage)

At Similarweb, 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.

You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.

You’ll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization.

We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours.

You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here.

Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.

At Similarweb, 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 Similarwebbers across the globe who are bright, curious, practical, and good people.