Data Analyst
Must-have:Python
Machine translation — original language: Ukrainian.Show original
Make Every Experience Matter
Viseven — an AI-oriented company that helps organizations in the life sciences, pharmaceutical, and biotechnology sectors unify fragmented content processes and build omnichannel engagement with physicians and patients that meets regulatory standards and delivers real results. By combining our own technological solutions — eWizard, eVa, Kheiron, and Lexi — with strategic consulting and deep expertise, we support content at every stage: from creation and MLR validation to localization and omnichannel publication. Our clients include leading companies from the Top 50 list in the life sciences sector worldwide.
Responsibilities:
- Data analysis and report development based on requests from internal and external clients.
- Providing expert assistance in developing algorithms and methods for calculating reporting metrics.
- Development and implementation of algorithms and mechanisms for verifying report data.
- Analysis and development of data extraction procedures for reports, and preparation of proposals for their optimization.
- Preparation of proposals for improving the functionality of existing reports.
- Writing and maintaining up-to-date documentation for developed functionality.
- Participating in system recovery in case of failures and non-standard situations.
- Writing articles about developed functionality.
Requirements:
- 2 years of work experience.
- Deep knowledge of the functionality of modelling instruments.
- Excellent knowledge and experience working with Excel.
- Good knowledge of the fundamentals of data analysis.
- Deep knowledge and experience working with databases.
- Clear understanding and application of API and REST API principles.
- Knowledge of Python or other tools.
- Ability to analyze and solve all functional tasks of medium complexity, ability to take on complex tasks through research, and ability to design the functionality of working tools.
- Interaction with internal clients and planning.
- Use of formal and informal written communication methods (e.g., emails, newsletters, PowerPoint presentations, management updates, task lists, status updates) to communicate research updates and results.
- Description of requirements in Agile format: Epic, Story, "Given-When-Then" scenarios.
- Ability to interpret information in arbitrary forms of models, diagrams, and tables.
- English language (Intermediate level).