Data Analyst at Proten

Job Summary:

We are seeking a highly motivated and detail-oriented Data Analyst to join our dynamic team. The Data Analyst will be responsible for collecting, processing, and analyzing data to provide actionable insights for our organization. The ideal candidate should have strong analytical skills, a keen eye for detail, and the ability to communicate complex findings to non-technical stakeholders.

Responsibilities:

• Collect, clean, and preprocess data from various sources to ensure accuracy and consistency.
• Perform in-depth data analysis to identify trends, patterns, and insights that drive business decisions.
• Develop and maintain databases, ensuring data integrity, security, and accessibility.
• Create data visualizations, reports, and dashboards to communicate findings effectively.
• Collaborate with cross-functional teams to understand data needs and deliver actionable solutions.
• Build and maintain predictive and prescriptive models to solve business challenges.
• Interpret data analysis results and provide clear, actionable recommendations to stakeholders.
• Stay current with industry trends, emerging technologies, and best practices in data analysis.

Qualifications

• Bachelor's degree in a related field (e.g., Data Science, Statistics, Computer Science, Mathematics) is required; 
• Proven experience as a Data Analyst or in a similar role.
• Strong proficiency in data analysis tools and languages (e.g., Python, R, SQL) and data visualization tools (e.g., Tableau, Power BI).
• Solid understanding of statistical and machine learning techniques.
• Excellent problem-solving skills and the ability to work with large datasets.
• Strong attention to detail and a high degree of accuracy.
• Effective communication and presentation skills to convey complex findings to diverse audiences.
• Experience with database management and data warehousing is a plus.
• Knowledge of business intelligence and reporting tools.
• Strong teamwork and collaboration skills.
• Ability to work independently and manage multiple projects simultaneously.