Lead Data Analyst

PNB Housing

Gurugram District

On-site

INR 2,200,000 - 4,200,000

Full time

4 days ago
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Job summary

PNB Housing Finance Ltd. is seeking a Lead Data Analyst to drive enterprise analytics initiatives and lead a team of analysts in delivering scalable BI solutions.

The role requires strong expertise in SQL, Python, Tableau, and AWS, with experience managing analytics projects and collaborating with business stakeholders to translate requirements into actionable insights.

Qualifications

  • Strong expertise in SQL, Python, Tableau, and AWS.
  • Experience managing analytics projects and collaborating with business stakeholders.
  • Ability to translate business requirements into analytical solutions.

Responsibilities

  • Lead a team of data analysts and provide technical guidance.
  • Drive enterprise-wide analytics initiatives and scalable BI solutions.
  • Design and develop enterprise dashboards and MIS using Tableau.
  • Build scalable data pipelines with Python and SQL.
  • Collaborate with Business, Risk, Credit, Sales, Operations, Finance and Technology teams.
  • Oversee project timelines and ensure timely delivery.
  • Support hiring, onboarding, and skill development.
  • Present findings and recommendations to senior leadership.

Skills

Team leadership
Project management

Tools

SQL
Python
Tableau
AWS

Job description

Role & responsibilities

We are seeking a Lead Data Analyst to drive enterprise-wide analytics initiatives, lead a team of analysts, and deliver scalable BI solutions. The ideal candidate should have strong expertise in SQL, Python, Tableau, and AWS, along with experience managing analytics projects and collaborating with business stakeholders

Preferred candidate profile
  • Lead a team of Data Analysts, providing technical guidance, mentoring, and performance support.
  • Manage end-to-end analytics projects from requirement gathering to deployment.
  • Design and develop enterprise dashboards and MIS using Tableau.
  • Build scalable data pipelines and automate reporting using Python and SQL.
  • Work with AWS services including Redshift, S3, Glue, Athena, and Lambda.
  • Translate business requirements into analytical solutions and actionable insights.
  • Review dashboards, SQL code, and Python scripts to ensure quality and best practices.
  • Drive automation initiatives to improve reporting efficiency and data quality.
  • Define and implement reporting standards, documentation, and data governance practices.
  • Collaborate with Business, Risk, Credit, Sales, Operations, Finance, and Technology teams.
  • Manage project timelines, prioritize work, and ensure timely delivery.
  • Support hiring, onboarding, training, and skill development of team members.
  • Present analytical findings and recommendations to senior leadership.
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