Job Overview
Location
Ukraine
Job Type
Full-time
Category
Data & Analytics
Date Posted
April 24, 2026
Full Job Description
📋 Description
- • As a Data Analyst at Onhires Inc., you will contribute to building the analytical logic of the product by working with large-scale, socially structured datasets to improve search and matching mechanisms, directly impacting how startups connect with investors.
- • Day to day, you will perform exploratory analysis to identify patterns in data, design and maintain controlled vocabularies, normalize and structure unorganized data, build hierarchies and classifications, formulate and validate hypotheses, evaluate data signal impacts, and visualize findings to support product decisions in close collaboration with founders and the product team.
- • You will join an insight-driven platform for deal origination and management that uses AI-powered matching to help startups raise funding faster by connecting them with active investors worldwide while ensuring security and data protection.
- • In this role, you will deepen your expertise in analytical logic design, hierarchical data structuring, and hypothesis-driven exploration, gaining hands-on experience with complex, relationship-driven datasets and contributing to core product innovation in a fast-growing, mission-focused environment.
Skills & Technologies
About Onhires Inc.
Onhires is a talent acquisition platform designed to streamline the hiring process for businesses. It offers a comprehensive suite of tools that automate and optimize various stages of recruitment, from sourcing candidates to onboarding new hires. The platform aims to reduce time-to-hire and improve the quality of hires by leveraging intelligent automation and data-driven insights. Key features include applicant tracking, candidate sourcing, interview scheduling, and performance analytics, all integrated into a user-friendly interface. Onhires serves companies seeking to enhance their recruitment efficiency and build stronger teams by making the hiring journey more effective and less resource-intensive.
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