Collect, clean, and analyze data from different sources
Identify trends, patterns, and insights from datasets
Write SQL queries to extract and analyze data
Use Python for data analysis and data processing
Create basic reports, dashboards, and visualizations
Prepare and maintain data and performance reports
Perform data validation and quality checks
Understand business requirements and support data-driven solutions
Track and analyze important KPIs
Collaborate with technology, product, and business teams

⚡ Assist in identifying process improvements using data

? Present findings and insights in a clear and understandable manner

Requirements

✅ Basic to good knowledge of SQL

✅ Basic to good knowledge of Python

✅ Familiarity with Pandas, NumPy, or similar libraries is a plus

✅ Basic understanding of data analysis and data cleaning

✅ Basic knowledge of databases and data structures

✅ Knowledge of Excel / Google Sheets

✅ Understanding of data visualization is a plus

✅ Familiarity with Power BI / Tableau is an advantage

✅ Strong analytical and problem-solving mindset

✅ Good attention to detail

✅ Willingness to learn new technologies and tools

✅ Good communication and teamwork skills

Required skills

SQL (writing queries to extract and analyze data)Python for data analysis and processingPandas/NumPy (Python data libraries)Data cleaning and preprocessingData analysis and identifying trends/patterns/insightsData validation and quality checksCreating reports, dashboards, and visualizationsExcel / Google SheetsPower BI / Tableau (data visualization tools)KPI tracking and performance reportingData storytelling and presenting findings clearlyCross-functional collaboration with technology/product/business teamsAnalytical thinking and problem-solvingAttention to detail and accuracyWillingness to learn new technologies and tools (learning agility)

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