Data Analyst
4 weeks ago
This is a remote position.
We are seeking a talented and ambitious Data Analyst to drive business decisions with data analysis and interpretation. As a key member of our analytics department, you will play a crucial role in analyzing and interpreting complex data to drive business decisions. The ideal candidate will have a strong foundation in data science and be proficient in a variety of data tools and technologies.
Responsibilities:
- Conduct data mining and analysis using various tools and technologies such as SQL and Hadoop.
- Design and implement database structures to optimize data storage and retrieval.
- Develop and deploy predictive models using unsupervised learning techniques.
- Work with large datasets and apply data visualization techniques to identify trends and insights.
- Collaborate with cross-functional teams to gather requirements and develop data-driven solutions.
- Utilize linked data to integrate data from various sources and provide a comprehensive view of our business.
- Apply data analytics skills to drive business decisions and optimize processes.
- Participate in the development and maintenance of data science projects.
- Stay up-to-date with the latest trends and advancements in data science and machine learning.
Requirements:
- Proficiency in data science and analytics.
- Experience with data visualization tools such as Tableau or Power BI.
- Strong understanding of SQL and database design principles.
- Familiarity with Hadoop and its ecosystem.
- Knowledge of machine learning libraries such as TensorFlow.
- Experience with unsupervised learning and data mining techniques.
- Ability to work in a fast-paced environment and meet deadlines.
- Strong analytical and problem-solving skills.
- Experience with AWS cloud services.
- Experience with data science tools such as Watch.
- Bachelor's degree in Computer Science, Statistics, or a related field.
Benefits:
- Work Location: Remote
- 5 days working
Proficiency in data science and analytics. Experience with data visualization tools such as Tableau or Power BI. Strong understanding of SQL and database design principles. Familiarity with Hadoop and its ecosystem. Knowledge of machine learning libraries such as TensorFlow. Experience with unsupervised learning and data mining techniques. Ability to work in a fast-paced environment and meet deadlines. Strong analytical and problem-solving skills. Experience with AWS cloud services. Experience with data science tools such as Watch. Bachelor's degree in Computer Science, Statistics, or a related field.
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