Data Analyst Intern- Signzy

The iScale; Bengaluru; On-site; INR 167,000 - 279,000; Part time

Job summary

Signzy is seeking a Data Analyst Intern to support data extraction, cleaning, and analysis. You will use SQL to pull large datasets, preprocess data, and apply Python or R to uncover insights that inform decisions. You will build dashboards using Excel, Power BI, or Tableau to communicate findings to stakeholders.

The role emphasizes data quality, ongoing learning, and process improvements in data collection and storage within Bengaluru-based operations.

Qualifications

• Experience in extracting and transforming large datasets using SQL.
• Ability to clean, preprocess and aggregate data for analysis.
• Familiarity with Python or R for statistical analysis and modeling.
• Experience creating dashboards in Excel, Power BI, or Tableau.

Responsibilities

• Data extraction and manipulation using SQL to prepare datasets.
• Perform data cleaning, aggregation, and preprocessing for analysis.
• Apply Python or R to uncover trends and build basic predictive insights.
• Create dashboards and reports to communicate findings clearly.

Skills

SQL

Python

R

Data Cleaning

Data Visualization

Tools

Excel

Power BI

Tableau

Job description

As a Data Analyst Intern at Signzy, you will be responsible for:

• Data Extraction and Manipulation:
• Utilize SQL to extract and transform large and complex datasets.
• Conduct data cleaning, aggregation, and preprocessing to prepare data for analysis.
• Statistical Analysis and Modeling:
• Utilize Python, R, and statistical techniques to uncover trends, patterns, and insights within the data.
• Develop and implement predictive models to support decision-making.
• Reporting and Visualization:
• Create insightful and visually appealing dashboards and reports using tools like Excel, Power BI, or Tableau.
• Data Quality Assurance:
• Implement and maintain data quality checks and validation processes to ensure accuracy and integrity of the data.
• Stay updated with industry best practices, emerging technologies, and tools in data analytics.
• Propose and implement process improvements for data collection, storage, and analysis.