Data Analyst

April 19, 2023

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Machine Learning • Data Engineering • Data Analytics • Artificial Intelligence • Data Science

51 - 200

Description

• Collect, clean, and transform raw data from various sources into structured datasets for analysis. • Perform thorough data analysis using statistical techniques and tools to identify patterns, correlations, and trends. • Develop and implement data models, algorithms, and visualizations to present findings in a clear and concise manner. • Monitor and track key performance indicators (KPIs) to assess the effectiveness of strategies and initiatives. • Identify opportunities for process improvements and develop data-driven solutions. • Collaborate with cross-functional teams to understand business requirements and provide data-driven insights and recommendations.

Requirements

• Strong proficiency in data analysis tools and programming languages such as SQL, Python, or R. • Solid understanding of statistical concepts and experience applying statistical analysis methods. • Experience consuming datasets from APIs, ETL, databases, or web scraping processes. • Familiarity with data modeling, data warehousing, and database management systems. • Proficient in data visualization techniques using tools like Tableau, Power BI, or similar platforms. • Excellent problem-solving skills with the ability to think critically and translate complex data into actionable insights. • Excellent verbal and written communication skills in English.