Description
Data Analysis Traineeship Remotely - Gigafactor Solutions | Career Page
Data Analysis Traineeship Remotely
Pune, Maharashtra, India
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Job Openings Data Analysis Traineeship Remotely
About the job Data Analysis Traineeship Remotely
The role of Data Analytics Visualization Trainee is essential to the organization as it involves supporting the analysis and visualization of data. The trainee will play a crucial role in interpreting data, identifying trends, and creating visual representations to communicate key insights to stakeholders and decision-makers.
This is a Remote Position.
Key Responsibilities
Work with data analysts to collect and interpret data
Create visualizations and dashboards to present data insights
Assist in developing and maintaining data visualization tools
Conduct data quality checks and cleansing
Assist in identifying patterns and trends in complex data sets
Support the implementation of data analysis and visualization best practices
Participate in training sessions to enhance data analytics and visualization skills
Collaborate with cross-functional teams to support data-driven decision-making
Assist in creating reports and presentations for internal and external stakeholders
Stay updated with the latest data visualization tools and techniques
Required Qualifications
Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field
Basic understanding of data analysis and visualization concepts
Familiarity with data visualization tools such as Tableau, Power BI, or QlikView
Proficiency in SQL and database management
Knowledge of programming languages such as Python or R
Strong analytical and problem-solving skills
Excellent verbal and written communication skills
Ability to work well in a team environment
Detail-oriented with strong attention to accuracy
Self-motivated and eager to learn new technologies
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Company
Siyaratech focuses on AI, machine learning, cloud infrastructure, and custom software including ERP systems and AI-driven automation to support startups and enterprises in digital transformation.
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