Senior Data Analyst

Key Responsibilities

• Collect, process, and analyze large volumes of data from multiple sources to identify trends, patterns, and insights.
• Develop and implement machine learning models to support predictive analytics and decision-making processes.
• Design, build, and maintain interactive dashboards and reports using Tableau to communicate findings effectively to non-technical stakeholders.
• Collaborate with cross-functional teams to understand business needs and translate them into data strategies.
• Present complex analytical concepts and results to senior management and executive teams clearly and concisely.
• Ensure data accuracy, quality, and integrity throughout all analysis and reporting activities.
• Stay updated with the latest trends in big data, analytics, and machine learning technologies.

Skills and competencies

• Bachelor s or master s degree in data science, Statistics, Computer Science, or a related field.
• Proven experience (3+ years) in data analysis, with a focus on big data environments.
• Strong knowledge of machine learning algorithms and frameworks.
• Expertise in using Tableau for data visualization and storytelling.
• Proficiency in SQL, Python, R, or other analytical tools and languages.
• Excellent communication and presentation skills, with the ability to convey technical information to non-technical audiences.
• Strong problem-solving skills and attention to detail.