Analytics Engineer at SimilarWeb UK Limited

Tel Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

23 Mar, 26

Salary

0.0

Posted On

24 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Architecture, Data Integrity, Business Acumen, Analytics Tools, Data Usability, Product Strategy, Data Transformation, Collaboration, Logical Structure, Technical Skills, Data Analysis, SaaS Metrics, Growth Strategy, AI Implementation, DaaS

Industry

Software Development

Description

At Similarweb, we’re revolutionizing how businesses understand the digital world by showing them everything that happens online. Our unique data and solutions empower over 13,000 customers worldwide — including Google, eBay, and Adidas — to make game-changing decisions that drive their digital strategies. We went public on the New York Stock Exchange in 2021, and we’re still reaching new heights! Come join Similarwebbers across the globe who are bright, curious, practical, and genuinely good people. About the Role We’re looking for an Analytics Engineer to join our team and play a key role in shaping how data drives our product and business decisions. This role is perfect for someone who enjoys working at the intersection of data, product, and strategy. While Product Analysts focus on turning data into insights, you’ll focus on building the strong data foundations that make those insights possible. You won’t just run queries; you will design the data architecture and own the "source of truth" tables that power our strategic decision-making. You’ll work closely with our Growth and Solutions teams, helping them move faster and smarter by making sure the data behind Generative AI, Data-as-a-Service (DaaS), and advanced product models is clear, reliable, and easy to use. Your work will have a direct impact on how we build, scale, and innovate our products. What You’ll Do Define the Source of Truth: Take raw, complex data and transform it into clean, well-structured tables that Product Analysts and Business Leads can use for high-stakes decision-making. Translate Strategy into Logic: Work with Product, Growth, and Solutions leads to turn abstract concepts (like "Activation," "Retention," or "Feature Adoption") into precise SQL definitions and automated datasets. Enable High-Tech Initiatives: Partner with our AI and DaaS specialists to ensure they have the structured data foundations they need to build models and external data products. Optimize for Usability: Ensure our data is not just "there," but easy to use. You will design the data logic that powers our most important product dashboards and growth funnels. Maintain Data Integrity: Act as the guardian of our metrics. You will ensure that the numbers used across our product and business reports are consistent, reliable, and logical. What We’re Looking For Expert SQL Mastery: You are a SQL power-user. You enjoy solving complex logic puzzles using code and care deeply about query efficiency and data accuracy. The "Bridge" Mindset: You can sit in a meeting with a Product Manager to understand a business need, and then translate that into a technical data structure that serves that need. Logical Architecture: You have a natural talent for organizing information. You know how to build a table that is intuitive and easy for other analysts to query. Product & Business Acumen: You understand SaaS metrics (ARR, funnels, activation, etc.) and how data logic impacts product growth and strategy. Experience with Analytics Tools: Proficiency in BI tools (Looker, Tableau, etc.) and a strong understanding of how data flows from technical logs to the end-user interface. Degree: B.Sc. in Industrial Engineering, Information Systems, Economics, Computer Science or a related quantitative field. Experience: 1+ years of prior experience in a relevant analytics/technical role Why You’ll Love Being a Similarwebber Impact: You are the architect of the data that drives our newest engines (Gen AI & DaaS). Your work literally powers the team's ability to innovate. Growth: You will work on the cutting edge of the data stack, gaining exposure to AI implementation and high-scale data logic. Collaboration: Our best work comes from face-to-face teamwork in the office, with flexibility to work part-time from home. Culture: We’re inclusive, innovative, and supportive. We foster open dialogue and encourage big ideas. Perks: Competitive compensation, strong emphasis on well-being, and plenty of opportunities for team bonding. We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.

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Responsibilities

The Analytics Engineer will define the source of truth by transforming raw data into structured tables for decision-making. They will collaborate with various teams to ensure data clarity and usability for product and business strategies.