Overview:
The Data Analyst Analytics Trainee will be an essential part of the new batch of 2024 Fresh Associates. This role plays a crucial part in supporting the analytics team in extracting transforming and analyzing complex data sets to drive actionable insights and business decisions.
Key Responsibilities:
- Assist in data collection cleansing and preparation for analysis.
- Conduct statistical analysis and provide insights based on trends and patterns.
- Support in creating dashboards for monitoring key metrics and KPIs.
- Assist in building and maintaining databases for storing and retrieving data.
- Collaborate with crossfunctional teams to understand data needs and deliver valuable analyses.
- Participate in data modeling and forecasting to support decisionmaking processes.
- Explore and implement new data analysis techniques to enhance existing processes.
- Support in the development of reports and presentations to communicate findings to stakeholders.
- Assist in the implementation and maintenance of data quality standards.
- Contribute to the development and improvement of data analysis processes and best practices.
- Stay updated with industry trends and advancements in data analysis tools and techniques.
- Participate in training programs and workshops to enhance data analysis skills and knowledge.
- Provide adhoc analysis and support for various business initiatives.
- Assist in identifying opportunities for datadriven improvements across the organization.
- Work on assigned projects and deliver them within defined timelines.
Required Qualifications:
- Bachelors degree in Data Science Statistics Computer Science Mathematics or related field.
- Strong analytical and problemsolving skills with a keen attention to detail.
- Proficiency in SQL for data extraction and manipulation.
- Working knowledge of programming languages such as Python R or similar for data analysis.
- Experience with data visualization tools such as Tableau Power BI or similar.
- Ability to interpret and present data findings in a clear and concise manner.
- Knowledge of statistical methods and techniques for data analysis.
- Familiarity with database management systems and data warehousing concepts.
- Excellent communication and teamwork abilities to collaborate effectively with peers and stakeholders.
- Ability to work on multiple projects simultaneously and prioritize tasks effectively.
- Understanding of machine learning concepts and algorithms is a plus.
- Previous internships or academic projects involving data analysis are advantageous.
- Proactive attitude towards continuous learning and selfimprovement in the field of data analysis.
- Strong organizational and time management skills to meet project deadlines.
- Knowledge of data privacy and security practices is preferred.
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