Data Analyst

Eitpl; Kolkata District; On-site; INR 600,000 - 900,000; Full time

Job summary

Eitpl is seeking a data analyst to extract and transform data from company databases, build dashboards, and deliver clear insights. The role requires strong SQL skills, data cleaning ability, and experience with visualization tools.

You will use Python or R for analysis and communicate findings to non-technical managers, turning numbers into actionable business insights.

Qualifications

• Proficient in writing SQL queries to pull, filter, and organize data from databases.
• Skilled with Excel features like pivot tables and VLOOKUP/XLOOKUP for data checks.
• Experience with Python or R for statistical analysis and data processing.
• Ability to build dashboards using Tableau or Power BI for clear data storytelling.
• Strong critical thinking to interpret data and communicate insights to non-technical managers.

Responsibilities

• Write SQL queries to pull and organize data from company databases.
• Clean data by fixing errors, duplicates, and missing values.
• Create dashboards in Power BI or Tableau to present trends clearly.
• Use Python or R for statistical analysis and data crunching.
• Translate complex statistics into simple stories for stakeholders.

Skills

Critical thinking

Communication

SQL

Excel

Python/R

Tools

SQL

Excel

Python

R

Tableau

Power BI

Job description

• Key Skill - SQL, Excel, Python or R, and data visualization software like Tableau or Power BI, combined with soft skills like critical thinking and clear communication
• Job Description / Responsibilities -

  SQL: Write queries to pull, filter, and organize data straight from company databases.

  Excel: Use pivot tables, VLOOKUP/XLOOKUP, and basic formulas for fast data checks.

  Data Cleaning: Find and fix errors, duplicates, and missing values in messy datasets.

  Visualization Tools: Build clear dashboards in Power BI or Tableau to present trends.

  Programming: Use Python or R for deep statistical analysis and heavy data crunching.

  Critical Thinking: Ask the right questions and look past the basic numbers to find the true meaning.

  Communication: Turn complex stats into simple, easy-to-read stories for non-technical managers.

  Problem-Solving: Figure out how to fix broken data pipelines or answer vague business goals.

  Business Acumen: Understand how your specific industry works so your insights are actually useful.