Company Description
We are looking for a Data Analyst to join one of our teams and help us build great products for our clients.
Join a globally recognized company where innovation meets impact. With a team of seasoned professionals and a culture built on excellence, we deliver top-tier AdTech solutions that shape industries and drive meaningful results. Be part of a competence center where your expertise will be valued, your voice heard, and your career empowered.
Customer:
An international technology company specializing in the development of high‑load platforms for data processing and analytics. The company’s core product helps businesses manage large volumes of data, build models, and gain actionable insights. The company operates globally, serving clients primarily in the marketing and advertising domain, and focuses on modern technologies, microservices architecture, and cloud‑based solutions.
Job Description
Work with Data Scientists to create and improve product features powered by data and analytics
- Collaborate closely with Product Managers and Engineers to design, build and improve data-driven product features
- Perform exploratory data analysis (EDA) to uncover patterns, trends, anomalies and business opportunities
- Analyze large-scale datasets to generate actionable insights and measurable impact
- Ensure data quality, consistency and reliability, proactively identifying and resolving data issues
- Translate complex analytical findings into clear insights and recommendations for stakeholders
- Create dashboards, reports and visualizations to communicate results effectively
- Work in an Agile environment and contribute to end-to-end analytics and data science initiatives
Qualifications
- 2–4 years of experience in Data Science, Applied Analytics roles
- Strong experience with Python/Pyspark (Pandas, Numpy)
- Solid SQL skills for working with complex and large datasets
- Experience working with large-scale or distributed datasets
- Proficiency in data visualization libraries (Matplotlib, Seaborn)
- Strong understanding of statistics and probability
- High attention to detail and proven ability to ensure data accuracy and integrity
- Upper-Intermediate or higher level of English