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As a Data Analyst at ITEMSONSALE, you will play a pivotal role in analyzing and interpreting context-rich usage log data to develop new analytics-based product lines. You will also support decision-making processes through detailed data reports and analysis.
Essential Duties and Responsibilities:
Data ETL: Extract, transform, and load (ETL) data to prepare it for comprehensive analysis.
Data Accessibility: Develop and implement processes and tools to enhance the accessibility and usability of data.
Trend Analysis: Mine and analyze data to identify trends and patterns for various analytics projects.
Ad Hoc Queries: Conduct ad hoc queries, data extracts, and in-depth data analysis to generate actionable insights for key decision-making processes.
Qualifications:
Education: Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
Experience: Proven experience in data analysis, with a strong understanding of ETL processes and analytics tools.
Skills:
Proficiency in data analysis tools and languages such as SQL, Python, R
Strong experience with data visualization tools (e.g., Tableau, Power BI).
Excellent problem-solving skills and the ability to interpret complex data sets.
Strong communication skills with the ability to present data findings clearly and effectively.
Preferred Qualifications:
Experience with machine learning algorithms or big data technologies.
To apply for this job please visit itemsonsale.store.