We are seeking a talented Data Analyst, who will be responsible for collecting, analyzing, and interpreting complex data sets to provide valuable insights and support informed decision-making. You will collaborate with cross-functional teams to identify data requirements, design data models, and develop reports and visualizations. This is an exciting opportunity to contribute to data-driven strategies and drive business growth.
Responsibilities :
- Collect, clean, and transform raw data from various sources for analysis.
- Perform data exploration, statistical analysis, and data mining to identify trends, patterns, and insights.
- Develop and maintain data models and databases to ensure data accuracy and accessibility.
- Create reports, dashboards, and visualizations to present findings and communicate data-driven insights to stakeholders.
- Collaborate with cross-functional teams to identify business requirements and define key performance indicators (KPIs).
- Conduct ad-hoc data analysis and provide recommendations for process improvements and optimizations.
- Perform data validation and quality assurance to ensure data integrity and reliability.
- Stay up-to-date with industry trends and best practices in data analysis and data visualization techniques.
- Collaborate with IT teams to implement data governance and security measures.
Requirements :
Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field.Proven experience as a Data Analyst or similar role.Proficient in SQL and data analysis tools (e.g., Python, R, Excel, Tableau).Strong analytical and problem-solving skills with the ability to work with large and complex datasets.Knowledge of data modeling concepts and database management systems.Excellent communication and presentation skills to effectively communicate insights to both technical and non-technical stakeholders.Attention to detail and the ability to work independently or as part of a team.Familiarity with data visualization best practices and tools.Experience with machine learning and predictive analytics is a plus.#J-18808-Ljbffr