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Data Analyst

Cubical Operations LLP

0 - 3 years

Bengaluru

Posted: 20/05/2026

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Job Description

Job Description Data Analyst (3+ Years Experience)

Job Title:

Data Analyst

Experience Required:

3+ Years

Job Summary:

We are seeking a detail-oriented and analytical Data Analyst with 3+ years of experience in data analysis, reporting, and business intelligence. The ideal candidate should have strong skills in SQL, Python, Excel, and visualization tools like Power BI/Tableau to derive actionable insights from data and support business decision-making.

Key Responsibilities:

  • Collect, clean, analyze, and interpret large datasets to identify trends and business insights.
  • Develop dashboards, reports, and visualizations using Power BI/Tableau.
  • Write optimized SQL queries for data extraction, transformation, and analysis.
  • Perform exploratory data analysis (EDA) and generate meaningful recommendations.
  • Collaborate with business stakeholders to understand reporting requirements.
  • Automate recurring reports and data processes using Python.
  • Monitor KPIs and prepare periodic business performance reports.
  • Ensure data accuracy, consistency, and integrity across systems.
  • Support ad-hoc analysis and business intelligence initiatives.

Required Skills:

  • Strong proficiency in SQL
  • Experience with Python (Pandas, NumPy, Matplotlib)
  • Hands-on experience with Power BI or Tableau
  • Advanced knowledge of Microsoft Excel
  • Good understanding of data cleaning, transformation, and visualization
  • Experience working with relational databases
  • Knowledge of statistics and analytical techniques
  • Understanding of Agile methodology and SDLC is preferred

Preferred Qualifications:

  • Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, or related field
  • Experience in automation and reporting solutions is a plus
  • Good communication and stakeholder management skills

Nice to Have:

  • Experience with APIs and data integration
  • Knowledge of cloud platforms like Azure/AWS
  • Familiarity with ETL processes and data warehousing

Tools & Technologies:

  • Python
  • SQL
  • Power BI / Tableau
  • Excel
  • Pandas / NumPy
  • MySQL / PostgreSQL / SQL Server

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