Company Overview

Innovatefactor Solutions, with a passion for technology and commitment to excellence, offers decades of expertise across diverse industries. Specializing in delivering high-quality and client-focused results, we cater to businesses ranging from startups to Fortune 300+ companies. With 51-200 employees, our headquarters is located in Bengaluru.

It is very important to fill the form. You will receive Form when you will apply as well as fill your mail Id.

This is a Remote Position

Job Overview

Join Innovatefactor Solutions as a Data Analytics Trainee, designed for freshers looking to establish a career in data analytics. This full-time, remote internship welcomes candidates from Hubballi, Bengaluru, Chennai, Pune, Ahmedabad, Hyderabad, and Delhi. Candidates should possess 0 to 1 year of work experience, enabling them to harness and grow their data analytical skills.

It is very important to fill the form. You will receive Form when you will apply as well as fill your mail Id.

This is a Remote Position

Qualifications and Skills

• Strong foundation in data analysis techniques with an emphasis on Data Analysis (Mandatory skill) for gaining meaningful insights from data.
• Proficiency in using SQL (Mandatory skill) to manipulate and query large datasets efficiently is a vital requirement.
• Exceptional problem-solving skills (Mandatory skill) for tackling complex data challenges and deriving effective solutions.
• Experience in statistical analysis to interpret and analyze quantitative data accurately and effectively.
• Capability to create compelling data visualizations that simplify complex data stories for non-technical audiences.
• Familiarity with Python for data manipulation, automation, and analysis to streamline processing tasks.
• Competence in Excel for organizing, analyzing, and presenting large amounts of data clearly and concisely.
• Critical thinking skills to evaluate data objectively and make independent, evidence-based decisions.

Roles and Responsibilities

• Assist in collecting, cleaning, and preparing data for analysis to ensure accuracy and quality.
• Conduct statistical analyses and interpret results to inform decision-making and guide project directions.
• Create and maintain comprehensive reports that provide insight for business processes and decision makers.
• Contribute to the design and development of analytics tools and platforms to enhance data transformation.
• Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.
• Support the data engineering team in streamlining data collection processes and enhancing data accuracy.
• Participate actively in team meetings, offering fresh perspectives and innovative ideas related to data handling and processing.
• Follow industry best practices, continually updating skills to keep pace with emerging data analytics trends.