Data yst ytics Intern Any Graduate Undergraduate
Data yst ytics Intern Any Graduate Undergraduate
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1 Vacancy
Job Description
Overview
Key responsibilities
- Assist in collecting and organizing data from various sources for analysis.
- Conduct exploratory data analysis to identify trends and patterns within datasets.
- Support the analytics team in developing and maintaining data models and algorithms.
- Help in the creation and maintenance of data visualizations and dashboards.
- Contribute to the interpretation of data and the communication of insights to stakeholders.
- Assist in identifying areas for process improvement based on data analysis.
- Participate in the testing and validation of data models and analytical tools.
- Support in adhoc data analysis requests from different departments.
- Collaborate with crossfunctional teams to understand data needs and deliver actionable insights.
- Assist in documenting data analysis processes and findings.
- Stay updated with industry trends and best practices in data analysis and analytics tools.
- Contribute to the continuous improvement of data quality and governance processes.
- Assist in the development of predictive models and machine learning algorithms.
- Support in the implementation and maintenance of data analytics platforms and tools.
Required qualifications
- Bachelors or Masters degree in a quantitative field such as Data Science Statistics Mathematics Computer Science Economics or related field.
- Demonstrated coursework or experience in statistical analysis data manipulation and visualization.
- Proficiency in data analysis and visualization tools such as R Python SQL Tableau or Power BI.
- Understanding of basic machine learning concepts and algorithms.
- Strong analytical and problemsolving skills with attention to detail.
- Excellent communication and presentation abilities to convey complex findings to nontechnical stakeholders.
- Ability to work collaboratively in a team environment and adapt to fastpaced work requirements.
- Knowledge of database management and data warehousing concepts.
- Understanding of data governance and privacy principles.
- Experience with big data technologies and cloud services is a plus.
- Strong organizational and time management skills to handle multiple priorities effectively.
- Ability to learn new tools and technologies independently and apply them to practical problems.
- Understanding of the business impact of data analysis and insights.
- Knowledge of Agile methodology and its application in data analytics projects.
- Demonstrated ability to handle sensitive and confidential information with integrity and professionalism.
analytics,data analysis,statistics,communication,data,algorithms,models,concepts,contribute,data analytics,data models
Employment Type
Full Time
Company Industry
Key Skills
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Data Visualization
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
