Overview:
The Data Analyst Analytics Trainee/Entry Level Position is an integral role within our organization responsible for supporting the analytics team and learning the foundational skills required for a successful career in data analysis. The role plays a key part in collecting interpreting and analyzing data as well as generating valuable insights to drive business decisions and strategies.
Key Responsibilities:
- Assist in data collection cleansing and validation processes
- Conduct statistical analysis to identify trends and patterns
- Develop and maintain databases and data systems
- Create visualizations and reports to communicate findings
- Collaborate with senior analysts to understand business requirements
- Support the implementation of analytical solutions
- Participate in training programs and workshops to enhance skills
- Contribute to the development of data models and algorithms
- Assist in data mining and data cleaning tasks
- Provide adhoc analysis to support decisionmaking processes
- Learn and apply various predictive modeling techniques
- Assist in interpreting and presenting findings to stakeholders
- Stay updated with industry trends and technological advancements
- Follow company policies and guidelines for data handling and security
- Support in the development of automated data processes
Required Qualifications:
- Bachelor s degree in Data Science Statistics Mathematics Computer Science or a related field
- Strong analytical and problemsolving skills
- Proficiency in SQL for data extraction and manipulation
- Knowledge of programming languages such as Python or R
- Familiarity with statistical analysis and data modeling techniques
- Ability to create visually appealing and insightful reports using tools like Tableau or Power BI
- Understanding of data warehousing concepts and database management systems
- Excellent communication and presentation skills
- Detailoriented with a high level of accuracy in work
- Ability to work collaboratively in a team environment
- Familiarity with machine learning concepts is a plus
- Strong organizational and timemanagement skills
- Willingness to learn and adapt to new technologies
- Knowledge of data privacy regulations and best practices
- Previous internship or project experience in data analysis is preferred
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