Lead Data Analyst - R01571479

Brillio; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Brillio is seeking a Lead Data Analyst to oversee enterprise data governance, architecture, and analytics across the organization. You will drive data quality initiatives, modernize analytics through dashboards, and provide expert guidance on data management strategies.

The role requires strong SQL skills, experience with data warehouses/data lakes, and cross-functional collaboration with IT and business units. Banking domain exposure is a plus.

Qualifications

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

Responsibilities

• Leads enhancements for quality, management, and storage of enterprise data.
• Enforces data policies and procedures across the enterprise.
• Develops strategies to mature data management capabilities across business units.
• Creates and maintains technical documentation for the Enterprise Data Warehouse.

Skills

SQL proficiency

Data analytics

Data management

Education

Bachelor's Degree + 6 years in Data Management/Data Analytics

High School Diploma or GED + 10 years in Data Management/Data Analytics

Tools

AWS

Snowflake

Data Warehousing

Job description

Lead Data Analyst

Job requirements

Lead Data Analyst, Data Products Overview: 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 modernize 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