Data Analyst

Overview

Required skills

Python / strong SQL / strong Data visualization tools / good English / strong

We are looking for a specialist with in-depth analytical skills who is striving to grow professionally.

Customer

It is an international technology company that specializes in developing high-load platforms for data processing and analytics. Its core product helps businesses manage large volumes of data, build models, and gain actionable insights. The company operates globally and serves clients primarily in the marketing and advertising sectors, and focuses on modern technologies, microservices architecture, and cloud-based solutions.

Project

The project focuses on working with audiences and targeting from the advertisers’ side (such as marketing agencies and similar structures). This is an independent project that is part of a larger AdTech platform.

Requirements

Requirements

• 4+ years of experience solving business problems through data analysis and extracting actionable insights from large datasets
• Proficiency in SQL, Python, and data visualization tools (e.g., Tableau, Power BI, or similar)
• Strong attention to detail with a proven track record of ensuring data integrity and accuracy
• Experience working within Agile frameworks and collaborating with cross-functional teams
• Excellent time management skills and the ability to prioritize tasks effectively to meet deadlines
• Demonstrated capability to manage multiple competing priorities in a fast-paced, dynamic environment
• At least an Upper-Intermediate level of English

Personal Profile

• Strong written and verbal communication skills
• Fast learner with a proactive mindset and eagerness to explore new tools and technologies

Responsibilities

Responsibilities

• Analyze and evaluate datasets to unlock their value for product improvements
• Ensure data quality and address inconsistencies
• Conduct exploratory analysis to identify trends and opportunities
• Provide insights to support strategic decisions and partnerships
• Create and maintain dashboards and reports for clear communication
• Collaborate with cross-functional teams to define analytics needs
• Build deep domain knowledge to refine use cases and enhance features