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 datasetsProficiency 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 accuracyExperience working within Agile frameworks and collaborating with cross-functional teamsExcellent time management skills and the ability to prioritize tasks effectively to meet deadlinesDemonstrated capability to manage multiple competing priorities in a fast-paced, dynamic environmentAt least an Upper-Intermediate level of English Personal Profile
Strong written and verbal communication skillsFast 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 improvementsEnsure data quality and address inconsistenciesConduct exploratory analysis to identify trends and opportunitiesProvide insights to support strategic decisions and partnershipsCreate and maintain dashboards and reports for clear communicationCollaborate with cross-functional teams to define analytics needsBuild deep domain knowledge to refine use cases and enhance features