Data Analyst

Eastern India Technosoft; Kolkata District; On-site; INR 600,000 - 900,000; Full time

Job summary

Eastern India Technosoft is seeking a data analyst with 3-5 years of experience in Kolkata. The role focuses on extracting data via SQL, cleaning data with Excel, and building dashboards in Power BI or Tableau. Strong communication skills and critical thinking are essential to translate complex stats into actionable insights for managers.

The candidate should be proficient in Python or R for advanced analysis and able to fix data pipelines as needed, delivering business-oriented outcomes.

Qualifications

• Write queries to pull, filter, and organize data from company databases.
• Use pivot tables, VLOOKUP/XLOOKUP, and basic formulas for data checks.
• Use Python or R for statistical analysis and data crunching.
• Build dashboards in Power BI or Tableau to present trends.
• Apply Python or R for deep statistical analysis and data processing.
• Think critically to derive insights beyond basic numbers.
• Translate complex stats into clear stories for managers.
• Identify and fix issues in data pipelines and align insights with business goals.

Responsibilities

• Write SQL queries to extract data from company databases.
• Prepare data in Excel using pivots and lookups for checks.
• Clean data by identifying duplicates and missing values.
• Build and maintain dashboards in Power BI or Tableau.
• Perform statistical analysis using Python or R.
• Communicate insights clearly to non-technical stakeholders.
• Problem-solve data pipeline issues and alignment with goals.
• Understand industry context to ensure useful insights.

Skills

SQL

Excel

Python

R

Data visualization

Critical thinking

Communication

Tools

Power BI

Tableau

Job description

• Location - Kolkata
• Experience - 3-5 Years
• 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.