Want to get hired at Talentorix?
Data Analytics Intern
Talentorix
HybridHybrid
Original Job Summary
About the Opportunity
This Data Analytics Intern position at Talentorix offers an excellent opportunity for aspiring data professionals to gain hands-on experience in data analysis, visualization, and business insights. Work remotely with flexible hours, ideal for students and recent graduates.
Key Responsibilities
- Collect, clean, and organize data from multiple sources.
- Perform analysis using Excel, SQL, Python, or other tools.
- Create reports and dashboards to aid decision-making.
- Identify patterns, trends, and anomalies in large datasets.
- Assist in research, data modeling, and predictive analytics.
- Present findings visually for non-technical teams.
Requirements
- Strong interest in Data Analytics, Business Intelligence, or Data Science.
- Basic proficiency in Excel/Google Sheets and familiarity with Power BI or Tableau.
- Understanding of SQL and Python/R is an advantage.
- Good problem-solving, logical thinking, and communication skills.
- Ability to work independently and meet deadlines.
Perks
- Certificate of Completion
- Letter of Recommendation
- Job Offer based on performance
- Office Library Access
- Flexible Hours
- Hybrid Work Option
- Counselling Support
Key skills/competency
- Data Analysis
- Visualization
- Business Intelligence
- Excel
- SQL
- Python
- Tableau
- Power BI
- Predictive Analytics
- Data Modeling
How to Get Hired at Talentorix
🎯 Tips for Getting Hired
- Research Talentorix's culture: Study their mission, values, and reviews.
- Customize your resume: Highlight relevant data analysis skills.
- Showcase projects: Include live dataset analysis examples.
- Practice technical interviews: Prepare for Excel, SQL, and Python questions.
📝 Interview Preparation Advice
Technical Preparation
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Review Excel formulas and functions.
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Practice SQL query writing exercises.
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Test Python scripting for data tasks.
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Learn basic dashboard creation in Tableau.
Behavioral Questions
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Describe a time you solved a data problem.
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Explain your approach to managing deadlines independently.
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Share an instance of teamwork in a project.
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Discuss how you handle feedback constructively.