Data Product Analyst

Weekday AI; Pune District; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

Weekday AI is seeking an experienced enterprise data governance lead to drive data quality, governance and architecture across the bank's data estate. You will guide profiling, reporting, dashboards, and cross-functional data initiatives with executive stakeholders.

The role requires strong SQL, data warehousing knowledge, and experience with AWS and Snowflake to modernize analytics and support regulatory reporting. Location-based in Pune/ Bengaluru, full-time position.

Qualifications

• Bachelor's Degree and 6 years of experience in Data Management or Data Analytics.
• Alternate: High School Diploma + 10 years of Data Management/Analytics experience.
• Experience in Banking, Regulatory Reporting and data warehouse environments.

Responsibilities

• Data Enhancement: lead data quality, profiling, and issue resolution for enterprise data.
• Business Support: enforce data policies and validate month-end reporting data.
• Business Strategy: develop strategic roadmaps for data management capabilities.
• Documentation: create mappings, data dictionaries, and centralized reports.

Skills

Hands-on SQL

Data governance

Data analytics

Education

Bachelor's Degree

High School Diploma or GED

Tools

AWS

Snowflake

ETL

Job description

This role is for one of Weekday's clients

Min Experience: 5+ years
Location: Pune, Bengaluru, Karnataka, India
JobType: full-time

This role is part of the Enterprise Data organization and is primarily focused on the overarching governance and architecture of all data across the enterprise. This position leads Bank initiatives that improve enterprise data quality, governance, reporting, and analytics at an advanced level of ability and technical expertise. Drives positive change across the Bank through technical innovation and continuous improvement initiatives, as well as through cross-functional partnership with other business units. Creates and maintains technical documentation related to enterprise data, including centralized critical business reports. Provides expert consultation to team members, the Information Technology department, the Bank's Data Council, and other stakeholders on strategies that achieve data management goals. May provide leadership to less experienced consultants in the work group.

Role & Responsibilities:

• Data Enhancement - Leads the implementation of enhancements for the quality, management, and storage of enterprise data. Executes initiatives that improve profiling, exception reporting, and issue resolution as well as general fixes for the Enterprise Data Warehouse. Builds dashboards to modernise analytics and assists management with special data projects.
• Business Support - Enforces data policies and procedures across the enterprise. Encourages discussion and feedback from associates in order to identify areas of improvement within data management capabilities. Completes month-end validations on reporting data to ensure the quality and completeness of data prior to business use. May assist in training or mentoring less experienced consultants in the work group.
• Business Strategy - Facilitates strategies that develop the Bank's data management capabilities. Assists management in creating and implementing a strategic road to achieve planned objectives. Works cross-functionally to mature department presence within Bank business units. Maintains a strong knowledge of current and emerging technologies or trends impacting the financial service industry.
• Documentation - Creates and maintains technical documentation for the Enterprise Data Warehouse, which includes source-to-target mappings, data dictionaries, and other related materials. Identifies and creates centralized business critical reports.

Qualifications & Additional Information

• Bachelor's Degree and 6 years of experience in Data Management, Data Analytics OR High School Diploma or GED and 10 years of experience in Data Management, Data Analytics
• Experience in Banking, Regulatory, Data Warehouse/Data Lakes, AWS/ Snowflake
• Understanding of data warehousing and transformation methods, lineage documentation, and ETL processes
• Knowledge of data spreadsheets and databases
• Hands-on SQL experience for writing complex queries

Must-have skills

Datawarehousing, banking, Regulatory Reporting

Good-to-have skills

AWS, ETL, SQL