Overview
The Data Analyst Analytics Trainee plays a critical role in the organization by supporting the analytics team in analyzing and interpreting data to drive business insights and strategies. This position is essential in helping the organization make informed decisions and optimize its operations by leveraging datadriven solutions.
Key responsibilities
- Collect clean and analyze large datasets to generate actionable insights.
- Assist in interpreting data analyzing results using statistical techniques and providing ongoing reports.
- Develop and implement databases data collection systems data analytics and other strategies that optimize statistical efficiency and quality.
- Acquire data from primary or secondary data sources and maintain databases/data systems.
- Identify analyze and interpret trends or patterns in complex data sets.
- Filter and clean data by reviewing computer reports printouts and performance indicators to locate and correct code problems.
- Assist with data validation and quality assurance.
- Work closely with management to prioritize business and information needs.
- Conduct adhoc analysis and present results in a clear manner.
- Design and generate dashboards reports and visualizations to aid in decisionmaking processes.
- Work collaboratively with crossfunctional teams to achieve organizational objectives.
- Stay uptodate with industry best practices and technologies.
- Contribute to continuous improvement initiatives within the analytics function.
- Assist in developing and implementing data policies and procedures.
- Support the deployment of predictive models and machine learning algorithms.
Required qualifications
- Bachelors or Master s degree in Statistics Mathematics Computer Science Economics or a related field.
- Knowledge of data analysis tools such as SQL Python R or similar languages.
- Familiarity with statistical analysis and proficiency in Excel and other data analysis tools.
- Strong analytical skills with the ability to collect organize analyze and disseminate significant amounts of information with attention to detail and accuracy.
- Understanding of database management and data warehousing principles.
- Experience working with large data sets and databases as well as data visualization tools.
- Ability to work in a fastpaced agile environment with a focus on delivering results.
- Excellent problemsolving skills and the ability to think critically and provide innovative solutions.
- Strong verbal and written communication skills with the ability to present findings clearly and effectively.
- Knowledge of machine learning concepts and algorithms is a plus.
- Strong organizational and timemanagement skills to prioritize multiple tasks effectively.
- Ability to work independently and in a teamoriented collaborative environment.
- Passion for continuous learning and professional development in the field of data analytics.
- Understanding of business operations and a customercentric mindset.
- Knowledge of data privacy regulations and best practices.
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