Gather and analyze large datasets from various sources to identify trends, patterns, and insights.
• Develop and implement data models, algorithms, and statistical techniques to extract meaningful information from raw data.
• Create clear and concise reports, visualizations, and presentations to communicate findings and recommendations to stakeholders.
• Collaborate with cross-functional teams to understand business requirements and translate them into data analysis tasks.
• Develop and maintain automated data processing workflows, utilizing scripting languages and automation tools.
• Identify opportunities to streamline data collection, analysis, and reporting processes through automation and process improvements.
• Stay up-to-date with the latest data analytics and automation trends, tools, and techniques, and recommend their implementation when appropriate.
Requirements:
• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. Advanced degree preferred.
• Proven experience as a Data Analyst, with a strong understanding of statistical analysis and data mining techniques.
• Proficiency in programming languages such as Python, R, or SQL for data manipulation, analysis, and automation.
• Experience with data visualization tools (e.g., Tableau, Power BI) to present insights and findings effectively.
• Solid knowledge of database systems and SQL queries for data retrieval and manipulation.
• Strong analytical thinking and problem-solving skills, with the ability to work with complex datasets and identify patterns and trends.
• Excellent communication skills to effectively collaborate with team members and present findings to both technical and non-technical stakeholders.
• Strong attention to detail and the ability to deliver high-quality work within tight deadlines.
• Familiarity with automation tools and technologies (e.g., scripting languages, workflow automation tools) is highly desirable.