A Data Analyst plays a crucial role in assisting organizations in making data-driven decisions by collecting, processing, analyzing, and presenting data. Data Analyst works with various data sources to extract valuable insights and trends that can inform business strategies and operations.
Main Responsibilities:
- Collect, clean, and preprocess data from various sources to ensure data accuracy and completeness.
- Perform exploratory data analysis (EDA) to uncover trends, patterns, and insights that drive informed decision-making.
- Create informative data visualizations and reports to communicate findings to stakeholders.
- Conduct statistical analysis and hypothesis testing to answer critical business questions.
- Collaborate with cross-functional teams to translate data insights into actionable strategies and recommendations.
- Develop and maintain data dashboards and reports for ongoing monitoring of key performance indicators (KPIs).
- Assist in the identification of data quality issues and work on data quality improvement initiatives.
- Assist Data Scientists in feature engineering and in model development.
- Stay up to date with industry trends and best practices in data analysis and technology.
Qualifications:
- Proficiency in data analysis tools and programming languages such as Excel, Python, R, SQL, etc.
- Strong analytical mindset and attention to detail.
- Excellent data visualization and presentation skills.
- Knowledge of statistical analysis techniques.
- Effective communication skills to convey complex findings to non-technical stakeholders.
- Familiarity with data storage and retrieval systems (databases).
- Experience with machine learning and predictive modeling is a plus.
What We Offer:
- Full support and career-development resources to maximize your potential along our career journey
- Market competitive total compensation package
- 100% company-paid for every employee’s medical insurance
- Benefits and incentives to stay healthy and fit
- English language classes
- Possibility to be involved in an international project
- Hybrid working model, ensuring a good work-life balance
- Junk Fridays, fruit days, terrace BBQs, and many more