Required Data Analytics Trainee : Fresher

Company Overview

Innovateshield Solutions is a prominent player in the Technology, Information, and Internet industry offering a breadth of services including enterprise software, web and eCommerce development, digital marketing, API and framework development, and game development. With headquarters in Bengaluru, Innovateshield Solutions tailors custom technology solutions to meet the specific requirements of businesses, driving them towards their goals.

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This is a Remote Position

Job Overview

We are seeking a Data Analytics Trainee to join our team. This is an entry-level position suitable for freshers with 0 to 1 year of experience. The role is remote, offering full-time internship opportunities to candidates in Bengaluru, Hubballi, Chennai, Ahmedabad, Pune, Hyderabad, and Delhi. If you are passionate about data analysis and want to start your career in this exciting field, this position is ideal for you.

Qualifications And Skills

• Proficiency in data analysis techniques to interpret complex datasets and derive actionable insights.
• Strong command over SQL (Mandatory skill) for efficient querying and managing databases.
• Effective critical thinking abilities (Mandatory skill) to solve problems and analyze data effectively.
• Excellent skills in statistical analysis to infer key patterns and trends in data.
• Experience in data visualization tools for presenting insights clearly and effectively.
• Proficient in Python for data manipulation and running machine learning models.
• Basic understanding of machine learning concepts to contribute to analytical projects.
• Solid knowledge of Excel for handling and analyzing large datasets efficiently.

Roles And Responsibilities

• Assist in collecting, processing, and validating data for various analytics projects.
• Work with senior data analysts to perform statistical analyses and support business decisions.
• Create visualizations and reports to effectively communicate findings to stakeholders.
• Develop predictive models to assist departments in making data-driven decisions.
• Utilize SQL to manage data pipelines and optimize database queries.
• Collaborate with cross-functional teams to understand data needs and deliver solutions.
• Continuously learn and apply emerging data technologies and methodologies.
• Ensure data integrity and accuracy by performing regular audits and cleaning activities.