This is a remote position.
Indygene is a boutique advisory firm that provides strategic guidance in financial compliance accounting taxation and business advisory services. We work with highnetworth individuals corporate executives and creative thinkers to deliver tailored solutions. Our philosophy "Accounting for Brilliance" focuses on offering personalized highquality services to navigate complex business challenges.
We are seeking a Remote Data Analyst Intern to join our team. This internship offers a unique opportunity to work on realworld data projects assisting our team in analyzing data to drive business decisions. You will collaborate with experienced analysts and gain valuable insights into datadriven strategies.
Key Responsibilities:
- Assist in collecting cleaning and organizing data from various sources.
- Conduct exploratory data analysis to identify trends patterns and insights.
- Create visualizations and reports to communicate findings effectively.
- Support the development and maintenance of dashboards for ongoing data monitoring.
- Collaborate with team members on datadriven projects and initiatives.
- Participate in team meetings and contribute ideas for improving data processes.
Requirements
Qualifications:
- Currently pursuing a degree in Data Science Statistics Mathematics Computer Science or a related field.
- Basic knowledge of data analysis tools and programming languages (e.g. Excel Python R SQL).
- Familiarity with data visualization tools (e.g. Tableau Power BI) is a plus.
- Strong analytical and problemsolving skills.
- Excellent attention to detail and ability to work independently.
- Effective communication skills both written and verbal.
Benefits
Benefits:
- Gain practical experience in data analysis and business intelligence.
- Work closely with experienced professionals in the field.
- Flexible remote work environment.
- Opportunity to enhance your resume and build a professional network.
Currently pursuing a degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Basic knowledge of data analysis tools and programming languages (e.g., Excel, Python, R, SQL). Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus. Strong analytical and problem-solving skills. Excellent attention to detail and ability to work independently. Effective communication skills, both written and verbal.
Education
Currently pursuing a degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Basic knowledge of data analysis tools and programming languages (e.g., Excel, Python, R, SQL). Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus. Strong analytical and problem-solving skills. Excellent attention to detail and ability to work independently. Effective communication skills, both written and verbal.