Data ytics Trainee Undergraduate Talent Folk Apply now
Data ytics Trainee Undergraduate Talent Folk Apply now
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Salary Not Disclosed
1 Vacancy
Job Description
Overview:
Key Responsibilities:
- Assist in collecting cleaning and analyzing data to generate insights and support decisionmaking processes.
- Work on realworld projects and gain practical experience in data analysis and visualization.
- Assist in developing and maintaining data models and databases.
- Apply statistical techniques to interpret data and provide meaningful recommendations.
- Collaborate with crossfunctional teams to identify opportunities for leveraging data to drive business solutions.
- Communicate findings and insights to team members and stakeholders through reports and presentations.
- Stay updated with the latest trends and advancements in the field of data analytics.
- Contribute to the development and improvement of data analytics processes and methodologies.
- Support the implementation of data governance and data quality best practices.
- Utilize programming languages and tools to manipulate and analyze data sets.
- Assist in creating and maintaining documentation related to data analytics processes and projects.
- Participate in training sessions and workshops to enhance data analytics skills.
- Adhere to data privacy and security protocols while handling sensitive information.
- Assist in identifying and troubleshooting datarelated issues.
Required Qualifications:
- Currently pursuing a degree in Data Science Computer Science Statistics Mathematics or a related field.
- Strong analytical and critical thinking skills.
- Proficiency in data analysis tools and software (e.g. Python R SQL Tableau).
- Basic understanding of statistical concepts and techniques.
- Excellent communication and presentation skills.
- Ability to work effectively in a team environment.
- Basic knowledge of database management and data manipulation.
- Strong attention to detail and accuracy in work.
- Ability to work on multiple tasks and prioritize effectively.
- Willingness to learn and adapt to new technologies and tools.
- Understanding of data privacy and confidentiality principles.
- Demonstrated problemsolving abilities.
- Strong work ethic and commitment to meeting deadlines.
- Ability to interpret and visualize data effectively.
data analysis,statistics,problem solving,communication,data,analytics,data analytics,skills,basic,data privacy,decision-making,interpret,projects
Employment Type
Full Time
