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.