Overview
The Data Analyst Analytics Trainee is a critical role within our organizations Analytics team responsible for supporting datadriven decision making through analysis visualization and reporting. This position plays a key role in driving business insights and supporting strategic initiatives.
Key Responsibilities
- Assist in analyzing large datasets to glean actionable insights
- Develop and maintain reports and dashboards to track key business metrics
- Collaborate with crossfunctional teams to understand data needs and provide analytical support
- Conduct adhoc analysis to address specific business questions
- Assist in maintaining data integrity and quality across various systems
- Investigate and troubleshoot data discrepancies and issues
- Support the implementation of data analytics tools and technologies
- Participate in continuous learning and skills development in the field of data analytics
- Assist in identifying and implementing process improvements related to data management and analysis
- Present findings and insights to stakeholders in a clear and concise manner
- Contribute to the development of predictive models and data mining techniques
- Collaborate in the development of machine learning algorithms for data analysis
- Stay updated with industry best practices and tools in data analytics
- Work on projects to enhance organizational data infrastructure and analytics capabilities
Required Qualifications
- Bachelors degree in Computer Science Statistics Mathematics Economics or related field
- Strong analytical and problemsolving skills
- Proficiency in SQL for data extraction and manipulation
- Experience with Python for data analysis and scripting
- Knowledge of data visualization tools such as Tableau or Power BI
- Understanding of statistical analysis and modeling techniques
- Ability to work with large datasets and databases
- Strong communication and presentation skills
- Attention to detail and accuracy in data analysis
- Ability to thrive in a fastpaced and dynamic environment
- Experience with machine learning concepts and algorithms is a plus
- Familiarity with data warehousing concepts and ETL processes
- Knowledge of cloud platforms such as AWS or Azure is a bonus
- Ability to work effectively both independently and in a team setting
- Passion for continuous learning and professional development in analytics
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