Company Overview

Clinchfactor Solutions is dedicated to leveraging technology to solve complex business challenges. We specialize in delivering enterprise software solutions, custom web applications, digital marketing campaigns, and more. Located in Bangalore, Karnataka, and belonging to the Technology, Information, and Internet industry, our team of experts ensures high-quality deliverables, focusing on timeliness and budget efficiency. With a team of 51-200 employees, we are committed to driving businesses to higher efficiency.

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This is a Remote Position

Job Overview

We are seeking highly motivated Junior SQL Developer Interns at Clinchfactor Solutions. This position is an excellent opportunity for freshers to work remotely in a full-time internship. Preferred candidates are those residing in Bengaluru, Chennai, Hyderabad, Cochin, Pune, Hubballi, and Visakhapatnam. With required work experience from 0 to 1 years, the role involves supporting our data team in implementing various data-driven projects.

Qualifications and Skills

• Proficient in statistical analysis, with a keen understanding of relational databases (Mandatory skill).
• Hands-on experience in data visualization techniques to present complex data in an understandable manner (Mandatory skill).
• Adept at data mining processes and deriving insights from large data sets (Mandatory skill).
• Understanding of machine learning concepts and their applications in data-driven problem-solving.
• Basic knowledge of Python programming, capable of writing scripts to automate data tasks.
• Experience in predictive modeling techniques for enhancing data analysis processes.
• Familiarity with big data technologies and the ability to process large volumes of data efficiently.
• Strong SQL skills to write queries, retrieve data and support the database management team in development tasks.

Roles and Responsibilities

• Assist in developing SQL queries to retrieve data from the database as required for analytics tasks.
• Support the data team in managing and executing data-driven projects effectively.
• Collaborate with senior developers to enhance the database architecture.
• Engage in data mining and perform quantitative analysis on large datasets.
• Employ statistical tools to interpret data and derive actionable insights.
• Create data visualizations to communicate insights and support decision-making processes.
• Work on machine learning models to identify patterns and make predictions.
• Use Python scripting to automate repetitive data tasks and improve efficiency.