Data Analytics Trainee

5 days ago

Bengaluru, India SAZ India Full time
Job Description

This is a remote position.

As a Data Analytics Trainee, you will work closely with senior data analysts and the broader analytics team to assist in the collection, processing, and analysis of data. You will support projects that drive business decisions, helping to generate actionable insights using data visualization, statistical analysis, and reporting tools. This role provides an ideal learning platform to develop core data analysis skills while contributing to meaningful, data-driven initiatives.

Key Responsibilities:

  • Assist in data collection, cleaning, and validation from various sources to ensure accuracy and completeness.
  • Perform preliminary data analysis and generate reports to identify trends, patterns, and anomalies.
  • Support the creation of data visualizations using tools like Tableau, Power BI, or Excel to communicate findings.
  • Help in developing and automating reports and dashboards to track key performance indicators (KPIs).
  • Collaborate with cross-functional teams to understand business needs and provide data-driven recommendations.
  • Assist in the preparation of analytical models and conduct statistical analyses for business insights.
  • Participate in internal training sessions to build proficiency in data analytics tools and methodologies.
  • Ensure data privacy and confidentiality standards are adhered to throughout the data analysis process.
  • Provide general support to the data analytics team as needed.

Preferred Qualifications:

  • Internship or academic experience working with data analysis tools or conducting research projects.
  • Exposure to programming languages like Python, R, or SQL.
  • Experience with data visualization or dashboard creation.

Requirements


Requirements:

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or related field (or equivalent academic experience).
  • Strong analytical skills with a keen interest in data-driven decision-making.
  • Basic understanding of data analysis techniques and statistical concepts.
  • Familiarity with data analytics tools such as Excel, SQL, Tableau, Power BI, or Python (preferred but not required).
  • Strong attention to detail and the ability to work with large datasets.
  • Ability to communicate technical information clearly and effectively to non-technical stakeholders.
  • Eagerness to learn, grow, and develop within the field of data analytics.
  • Strong organizational skills, ability to manage multiple tasks, and meet deadlines.




Benefits

What We Offer:

  • Hands-on experience in a fast-paced, data-driven environment.
  • Opportunities for mentorship and professional development.
  • Exposure to real-world business analytics and cross-functional collaboration.
  • A supportive team environment that fosters learning and growth.


Requirements
Requirements: Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or related field (or equivalent academic experience). Strong analytical skills with a keen interest in data-driven decision-making. Basic understanding of data analysis techniques and statistical concepts. Familiarity with data analytics tools such as Excel, SQL, Tableau, Power BI, or Python (preferred but not required). Strong attention to detail and the ability to work with large datasets. Ability to communicate technical information clearly and effectively to non-technical stakeholders. Eagerness to learn, grow, and develop within the field of data analytics. Strong organizational skills, ability to manage multiple tasks, and meet deadlines.

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