Komputerləşmə və İKT
Senior data analyst
Responsibilities:
- Lead the collection, cleaning, and analysis of data across various sources to support business decision-making.
- Develop and implement advanced data analysis, data mining, and data visualization techniques to identify trends, patterns, and insights.
- Work closely with project teams to understand business needs and deliver data-driven solutions and recommendations.
- Design and maintain data systems and databases; this includes fixing coding errors and other data-related problems.
- Create automated anomaly detection systems and constant tracking of its performance.
- Building data-driven decision-making processes in various projects
- Lead and manage data analysis projects from inception to completion
- Prepare reports and presentations to communicate findings and recommendations to both technical and non-technical stakeholders.
- Become an expert in translating stakeholder needs into specific analyses, metrics, or reports that yield actionable insights.
- Mentor junior data analysts and contribute to the team's knowledge sharing and skill development.
Requirements:
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. A Master’s degree is preferred.
- 4+ years of experience in a data analyst role, with a proven track record of manipulating, processing, and extracting value from large disconnected datasets.
- Advanced proficiency with data analysis tools (e.g., SQL, Python, R)
- 4+ years of experience in developing Tableau, Power BI, and Apache Superset dashboards, and managing users and permissions.
- Strong understanding of statistical analysis and predictive modeling.
- Excellent problem-solving skills and the ability to think analytically.
- Strong communication skills, with the ability to translate complex data into actionable insights.
- 3+ years of professional experience writing and testing MSSQL/PostgreSQL.
- Experience in mentoring or leading a team is highly desirable.
- Working experience in data warehouse and ETL.