Job Brief
As a Data Mining Analyst, you will develop and implement advanced analytics techniques to transform raw data into actionable insights. Utilizing data-oriented programming languages and visualization software, you will apply data mining, machine learning, and natural language processing to extract valuable information from large structured and unstructured datasets. Your role will involve visualizing, interpreting, and reporting data findings to inform business decisions, requiring a strong analytical mindset and proficiency in data analysis tools.
Responsibilities
- Develop and implement data mining techniques to analyze large datasets and extract meaningful insights.
- Utilize machine learning algorithms to build predictive models and enhance data-driven decision-making.
- Apply natural language processing to analyze and interpret unstructured data sources.
- Create dynamic data reports and visualizations that effectively communicate findings to stakeholders.
- Collaborate with cross-functional teams to identify data needs and ensure data integrity.
- Conduct exploratory data analysis to identify trends, patterns, and anomalies in datasets.
- Stay updated with industry trends, tools, and technologies related to data mining and analytics.
Requirements
- Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
- Proven experience as a Data Mining Analyst or in a similar analytical role.
- Proficiency in programming languages such as Python, R, or SQL.
- Strong knowledge of data mining techniques, machine learning algorithms, and statistical analysis.
- Experience with data visualization tools like Tableau, Power BI, or similar software.
- Familiarity with big data technologies such as Hadoop or Spark is a plus.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills to effectively convey complex data findings to non-technical stakeholders.
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