Data Analytics Trainee

Bytemetrics Solutions


Date: 5 days ago
City: Remote, Remote
Salary: ₹300,000 - ₹400,000 per year
Contract type: Intern
Remote
Skills:
Data Analysis, Statistical Analysis, Data Visualization, SQL, Python, Excel, Critical Thinking, Problem Solving,

  • 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.

Note: If you want to apply for this job then you can apply only by filling the form. This will increase the chances of your profile getting shortlisted. When you apply, you will get the form.

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

  • Bachelors 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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