Lead Data Analyst

PNB Housing; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

PNB Housing is looking for a Lead Data Analyst to spearhead enterprise-wide analytics initiatives and lead a team of analysts. The ideal candidate will design scalable BI solutions, emphasizing SQL, Python, Tableau, and AWS skills. They will also manage projects, ensuring timely delivery and collaboration across various teams.

The role involves presenting analytical findings to senior leadership while driving automation initiatives to enhance data quality and reporting efficiency.

Qualifications

• Strong expertise in SQL, Python, Tableau, and AWS.
• Experience managing analytics projects and collaborating with stakeholders.
• Ability to lead and mentor a team of analysts.

Responsibilities

• Drive enterprise-wide analytics initiatives.
• Manage end-to-end analytics projects from requirement gathering to deployment.
• Design and develop enterprise dashboards and MIS using Tableau.

Skills

SQL

Python

Tableau

AWS

Data governance

Project management

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.