Data Analyst to $2000

We are hiring a Data Analyst for one of our Israeli clients — a global leader in web data solutions. The company builds and operates large-scale infrastructure that enables organizations to collect, process, and analyze online data at scale. Their products are used by hundreds of leading enterprises worldwide, across sectors such as e-commerce, cybersecurity, fintech, and market research. The organization operates in a high-volume data environment, where analytics play a critical role in product, operations, and strategic decision-making.

As a Data Analyst, you will be part of a cross-functional team, working closely with product managers, engineers, and business stakeholders. You’ll be responsible for uncovering insights, enabling data-driven decisions, and supporting the company’s rapid growth through high-quality analytics and reporting.

Key Responsibilities:

Business Understanding & Data Analysis:

– Understand complex business processes and translate them into analytical questions

– Perform in-depth analysis of operational and product data to identify trends, patterns, and opportunities

– Collaborate with stakeholders to define KPIs and monitor performance

Data Compilation & Reporting:

– Aggregate, clean, and structure data from multiple systems and sources

– Build and automate recurring reports to support business operations

– Translate business requirements into actionable and scalable data solutions

Data Visualization:

– Design intuitive dashboards and visualizations using BI tools such as Tableau or Power BI

– Present findings in a clear and structured manner to both technical and non-technical audiences

Requirements:

– 2–5 years of experience as a Data Analyst or in a similar analytical role

– Proficiency in SQL, including complex queries, joins, and aggregations

– Strong analytical thinking and the ability to independently solve data-related challenges

– Bachelor’s degree in Industrial Engineering, Data Science, Computer Science, or a related field

Nice to Have:

– Experience with Python or R for analysis and scripting

– Hands-on experience with BI tools such as Tableau, Power BI, or similar platforms

– Familiarity with statistical analysis and modeling techniques

This is an opportunity to work with a product-led company at the forefront of big data and infrastructure. You’ll join a culture that values precision, ownership, and clarity, and where data is central to decision-making across all departments.