We are seeking a curious and results-oriented Data Analyst to join our growing team! In this crucial role, you will play a vital part in transforming raw data into actionable insights that drive strategic decision-making across the organization. You will be responsible for collecting, cleaning, analyzing, and visualizing data to identify trends, patterns, and opportunities for improvement.
Responsibilities :
- Collaborate with stakeholders across various departments to understand data needs and business objectives.
- Design and execute data collection strategies from various sources (internal databases, external APIs, web scraping).
- Clean and prepare data to ensure accuracy and consistency for analysis.
- Perform data analysis using statistical methods and tools (e.g., SQL, Python, R).
- Create compelling data visualizations (charts, graphs, dashboards) to communicate insights effectively.
- Develop and maintain data pipelines and automate data analysis processes where applicable.
- Identify key metrics and KPIs (Key Performance Indicators) to track business performance.
- Generate reports and presentations that clearly communicate data-driven insights and recommendations.
- Stay up-to-date on the latest data analysis tools and techniques.
Qualifications :
Minimum 2-3 years of experience in data analysis or a related field.Strong analytical and problem-solving skills with a keen eye for detail.Proficiency in SQL for data querying and manipulation.Working knowledge of data visualization tools (e.g., Tableau, Power BI) preferred.Experience with scripting languages like Python or R a plus.Excellent communication and collaboration skills with the ability to translate complex data insights into clear and concise reports.Ability to work independently and manage multiple projects simultaneously.Benefits :
Competitive salary and benefits package.Opportunity to work in a fast-paced and dynamic environment.Play a key role in leveraging data to drive strategic decision-making.Continuous learning and development opportunities in the data science field.Be part of a collaborative and supportive team.J-18808-Ljbffr