Build dashboards and recurring reports, analyze operational and sales data, monitor KPIs, and turn findings into recommendations that help client teams make proactive decisions.
Data Analyst
📜 Description
- Analyze data and develop reports in response to internal and external customer requests.
- Help develop algorithms and methods for calculating report indicators.
- Develop and implement mechanisms to validate report data.
- Develop and optimize data-loading procedures for reports.
- Propose improvements to existing reports and document developed functionality.
- Support system recovery during failures and unusual situations, and write articles about developed functionality.
🛠️ Requirements
- 2 years of experience.
- Good knowledge of the functionality of the modelling instruments.
- Good knowledge and experience in Excel.
- Good knowledge of data analysis
- Good knowledge and experience work with databases
- Good understanding and applying the principles of the API and REST API.
- Knowledge of Python or other instruments.
- Analyses and handles all functional tasks of intermediate complexity, able to perform challenging tasks by researching the topic, can design functionality of working instruments.
- Collaboration with internal customers and planning.
- Utilizing formal and informal written communication methods (for example, emails, newsletters, PowerPoint presentations, executive updates, task lists, updates) to communicate updates and findings"".
Full job description
Responsibilities:
• Providing expert assistance in developing algorithms and methods for calculating report indicators.
• Develop and implement algorithms and mechanisms for verifying report data.
• Analysis and development of data download procedures for reports, development of optimization proposals.
• Development of proposals to improve the functionality of already created reports.
• Writing and maintaining up-to-date documentation on the developed functionality.
• Participates in restoring the system performance in case of failures and non-standard situations.
• Writing articles on the developed functionality
Requirements:
• Good knowledge of the functionality of the modelling instruments.
• Good knowledge and experience in Excel.
• Good knowledge of data analysis
• Good knowledge and experience work with databases
• Good understanding and applying the principles of the API and REST API.
• Knowledge of Python or other instruments.
• Analyses and handles all functional tasks of intermediate complexity, able to perform challenging tasks by researching the topic, can design functionality of working instruments.
• Collaboration with internal customers and planning.
• Utilizing formal and informal written communication methods (for example, emails, newsletters, PowerPoint presentations, executive updates, task lists, updates) to communicate updates and findings"".
• Requirements description in Agile format: Epic, Story, ""Given-When-Then"" scenarios.
• Ability to interpret information in the free form of models, diagrams and tables.
• English Upper-intermediate level.
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Search more Data Analyst jobsBuild dashboards and recurring reports, analyze operational and sales data, monitor KPIs, and turn findings into clear recommendations that help managers and client stakeholders make proactive decisions.
Build dashboards and recurring reports, analyze operational and sales data, monitor KPIs, and turn findings into recommendations that help managers and client teams make proactive decisions.
Build dashboards and recurring reports, analyze operational and sales data, monitor KPIs, and turn findings into recommendations that help managers and client stakeholders make proactive decisions.
Młodszy/a Analityk/czka Danych Biznesowych
Tworzy agentów AI, raporty, dashboardy i automatyzacje wspierające zespoły biznesowe, a także utrzymuje i usprawnia narzędzia oraz realizuje zapytania dotyczące danych.
