Data Analyst

Posted 6 Hours Ago
Be an Early Applicant
Tel Aviv-Yafo, ISR
In-Office
Junior
Marketing Tech
The Role
Analyze product, brand, and category data to identify quality gaps and opportunities. Define quality metrics, build dashboards and checks, maintain ground-truth datasets and labeling guidelines, evaluate LLM and ML model outputs, and support taxonomy development. Partner with Product, Engineering, and customer-facing teams to investigate data issues, validate new sources, prioritize improvements, and translate findings into product requirements.
Summary Generated by Built In
Data Analyst – Product Data & AI Quality

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.

We’re looking for a Data Analyst to join our R&D department!

Why is this role so important at Similarweb?

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
This is the perfect job for someone who:
  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.

Why you’ll love being a Similarwebber:

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.

We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here: https://www.similarweb.com/corp/legal/applicant-privacy-policies/

We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.

Skills Required

  • Bachelor of Science degree in Industrial Engineering, Statistics, Economics, Computer Science, or another quantitative field
  • 2 or more years of experience as a data analyst, preferably in a technology company
  • Strong SQL skills
  • Python experience for data analysis, including pandas and notebooks
  • Understanding of statistics and evaluation metrics, including sampling, precision, recall, and confidence levels
  • Hands-on experience using LLMs for data work, such as prompting, structured outputs, or reviewing model outputs
  • Strong attention to detail and a structured approach to messy, ambiguous data
  • Clear English communication and ability to present findings to Product, Engineering, and customer-facing teams
  • Experience with labeling, taxonomies, or data quality processes
  • Experience with e-commerce or product data
  • Experience with business intelligence and visualization tools

SimilarWeb Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SimilarWeb and has not been reviewed or approved by SimilarWeb.

  • Healthcare Strength — Medical, dental, and vision insurance are listed across U.S. postings, and wellness initiatives such as gym membership are highlighted. This indicates a solid core health offering that is characterized as competitive for a mid‑size tech company.
  • Retirement Support — A 401(k) plan is included, with materials noting a company match that vests immediately for U.S. employees. This retirement backbone is consistently referenced in job postings.
  • Leave & Time Off Breadth — Company profiles and postings cite generous PTO, paid holidays and sick time, and paid parental leave. Employer‑verified U.S. PTO details also mention PTO plus floating holidays.

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The Company
HQ: Tel Aviv-Yafo
925 Employees
Year Founded: 2007

What We Do

Digital is now the most important driver of growth and profitability for just about every business. Similarweb is a platform that gives our customers a true 360 degree view of all digital activity across customers, prospects, partners, and competition. The resulting insights give our customers — who are some of the world’s biggest brands — a digital edge that helps them beat their competition and win their markets.

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