Data Analyst Trainee

Company Overview

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InnovateNuo Solutions is a technology-driven company established in 2017, headquartered in Bengaluru, Karnataka. We specialize in crafting enterprise software solutions, custom web applications, digital marketing campaigns, eCommerce platforms, and game development projects. Dedicated to providing high-quality work within budget constraints, InnovateNuo Solutions supports businesses in scaling to new heights with a team ranging from 51 to 200 employees.

Job Overview

The Data Analyst Trainee position at InnovateNuo Solutions is an entry-level opportunity for freshers with 0 to 1 year of experience. The role is remote and full-time, with a location base in several major cities including Bengaluru, Chennai, Pune, Mumbai, Hyderabad, Delhi, and Cochin. As a Data Analyst Trainee, you will work on analyzing data to help solve business problems through technology.

• Qualifications and Skills Proficiency in data analysis techniques to interpret complex data sets and extract meaningful insights for informed decision-making.
• Knowledge of SQL is essential for querying and managing data in relational databases (Mandatory skill).
• Competency in Python programming for data manipulation and automation of tasks (Mandatory skill).
• Ability to perform statistical analysis to identify trends and patterns within data sets.
• Skill in data visualization to create clear, engaging reports and presentations that communicate data insights effectively.
• Strong proficiency in Excel for managing, processing, and analyzing data efficiently.
• Experience in data cleaning to ensure data quality and accuracy by detecting and correcting errors or inconsistencies.
• Critical thinking capabilities to analyze situations, identify problems, and develop innovative solutions based on data findings.

Roles and Responsibilities

• Assist in the collection, processing, and analysis of data to support the strategic objectives of various projects.
• Collaborate with cross-functional teams to identify business requirements and develop data-driven solutions.
• Utilize SQL, Python, and other tools to automate and streamline data analysis workflows.
• Create detailed reports and dashboards to present data insights and support decision-making processes.
• Conduct thorough data cleaning processes to maintain high data quality and ensure accurate analysis results.
• Engage in continuous learning and professional development to stay updated with the latest data analysis and industry trends.
• Support data governance initiatives to ensure compliance with data security and privacy regulations.
• Participate in team meetings and contribute to discussions that aim to improve analytical methodologies and business outcomes.