Overview
The Data Analyst/Analytics Trainee plays a crucial role in supporting the organizations datadriven decisionmaking processes and business strategies. They are responsible for analyzing large datasets identifying trends and generating insights to help drive business growth and performance. The position of Data Analyst/Analytics Trainee is vital to ensuring that the organizations data is accurate reliable and actionable.
Key responsibilities
- Assisting in collecting analyzing and interpreting large datasets to provide valuable insights.
- Developing and implementing data collection systems and other strategies to optimize statistical efficiency and data quality.
- Preparing reports and visualizations to effectively communicate findings and recommendations to stakeholders.
- Supporting the development and maintenance of analytics tools and systems.
- Collaborating with crossfunctional teams to understand business requirements and provide datadriven solutions.
- Performing adhoc analysis and presenting findings to support various business initiatives.
- Identifying data quality issues analyzing data for inconsistencies and resolving discrepancies.
- Assisting in the implementation of data management and governance policies.
- Keeping abreast of industry best practices and trends in data analytics and visualization tools.
- Contributing to the continuous improvement of data processes and workflows.
Required qualifications
- Bachelors degree in Mathematics Statistics Computer Science Economics or a related field.
- Proficiency in SQL and database management systems.
- Strong analytical skills with the ability to collect organize analyze and disseminate significant amounts of information with attention to detail and accuracy.
- Knowledge of statistical and data mining techniques.
- Experience with data visualization tools such as Tableau Power BI or QlikView.
- Proficiency in programming languages such as Python R or Java.
- Excellent communication and presentation skills.
- Ability to work in a collaborative teamoriented environment.
- Understanding of machine learning concepts and models is a plus.
- Strong problemsolving skills and a proactive approach to tackling challenges.
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