Must-Have:
7+ years of qualified experience as a Lead Data Analyst with positive decision-making, analytical and problem-solving skills.
SQL, Pyspark, Python with ESG / Banking Domain experience.
Hands-on experience in HQL or SQL (Spark SQL) for Data exploration.
Documentation - Data Mapping, Subsystem Design, Technical Design, Business Requirements.
Exposure to Logical to Physical Mapping, Data Processing Flow to measure the consistency, etc.
Understanding of ER Diagram and Data Modelling concepts
Exposure to Data Management, Data Cleaning, Data Quality and Data Preparation
Exposure to working in Agile framework.

Role & Responsibilities:
Should have worked on Jira tickets creation/maintained/closed and update the tickets with delivery updates aligned to the delivery sprint cadence.
Help to ensure L1 & L2 milestones are maintained, and statuses reflected in dashboards and monthly reporting
Lead a highly skilled, multi-disciplinary team of consisting of data, analytics,



technology and delivery professionals to deliver advanced data and analytics solutions
Act as Lead DA and Pod Lead for teams to deliver business use cases on a global scale and deploying locally.
Coordinate the deployment of global initiatives into markets.
Working closely with data, analytics and technology teams across the business, shape solution designs which meets business needs as well as aligning to the broader strategic Data & Analytics objectives
Work directly with various stakeholders across multiple geographies, such as technical discipline leads, data scientists, data engineers and data analysts to produce accurate delivery estimates and manage the transition from analysis to successful delivery.
Define Agile project working approach and enforce all team members to follow the same methodology.
Ensure awareness, involvement and support from key stakeholders by building robust pod teams and maintaining robust communications on the project status throughout i

📌 Lead Data Analyst Pune
🏢 EXL
📍 Pune