Python Data Analyst

Lonvec Technologies Private Limited

Pune District

On-site

INR 700,000 - 1,100,000

Full time

14 days+

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Job summary

Lonvec Technologies Private Limited in Pune is seeking a detail-oriented Python Data Analyst to transform raw data into actionable insights that support strategic decisions. You will collect, clean, and validate data from multiple sources, and analyze structured and unstructured datasets using Python and SQL.

You will develop dashboards and reports with Power BI or Tableau, perform EDA and statistical analysis, identify trends, automate recurring reports, and collaborate with business teams to

Qualifications

  • Strong experience in turning raw data into meaningful insights.
  • Experience handling large datasets and ensuring data quality.
  • Proficiency in Python, SQL and business intelligence tools.
  • Ability to communicate findings clearly to stakeholders.

Responsibilities

  • Collect, clean, and validate data from multiple sources.
  • Analyze structured and unstructured datasets using Python and SQL.
  • Develop dashboards and reports using Power BI or Tableau.
  • Perform exploratory data analysis (EDA) and statistical analysis.
  • Identify trends, patterns and business opportunities from data.
  • Automate recurring reports and data workflows using Python.
  • Collaborate with business teams to understand reporting requirements.
  • Present insights and recommendations to stakeholders.
  • Maintain documentation for reports, dashboards, and analytical processes.

Skills

Python
SQL
Data analysis
EDA
Data visualization

Tools

Power BI
Tableau
Jupyter

Job description

We are looking for a detail-oriented Python Data Analyst to transform raw data into meaningful insights that support strategic business decisions.The ideal candidate will have strong analytical skills, experience working with large datasets, and expertise in Python, SQL, and business intelligence tools. You will collaborate with stakeholders to identify trends, create dashboards, and generate actionable reports.

  • Collect, clean, and validate data from multiple sources
  • Analyze structured and unstructured datasets using Python and SQL
  • Develop dashboards and reports using Power BI or Tableau
  • Perform exploratory data analysis (EDA) and statistical analysis
  • Identify trends, patterns, and business opportunities from data
  • Automate recurring reports and data workflows using Python
  • Collaborate with business teams to understand reporting requirements
  • Ensure data accuracy, integrity, and consistency across systems
  • Present insights and recommendations to stakeholders
  • Maintain documentation for reports, dashboards, and analytical processes
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