Weekday AI

Proactive software engineer recruitment via referrals

Data Product Analyst Expert

Data ManagementConfirmed live in the last 24 hours

Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

A bachelor's degree and 6 years of experience in Data Management or Data Analytics, or a high school diploma or GED and 10 years of experience in Data Management or Data Analytics.
Experience in banking, regulatory work, data warehouses or data lakes, and AWS or Snowflake.
Understanding of data warehousing and transformation methods, lineage documentation, and extract, transform, load (ETL) processes.
Knowledge of spreadsheets and databases.
Hands-on SQL experience writing complex queries.
Must-have skills include data warehousing, banking, and regulatory reporting.
Good-to-have skills include AWS, ETL, and SQL.

Responsibilities

Lead implementation of enhancements to enterprise data quality, management, and storage.
Execute initiatives to improve profiling, exception reporting, issue resolution, and general fixes for the Enterprise Data Warehouse.
Build dashboards to modernize analytics and assist management with special data projects.
Enforce data policies and procedures across the enterprise.
Encourage discussion and feedback from associates to identify improvements in data management capabilities.
Complete month-end validations on reporting data to ensure its quality and completeness before business use.
Facilitate strategies to develop the Bank’s data management capabilities.
Assist management in creating and implementing a strategic roadmap to achieve planned objectives.
Work cross-functionally to mature the department’s presence within Bank business units.
Maintain knowledge of current and emerging technologies or trends affecting the financial services industry.
Create and maintain technical documentation for the Enterprise Data Warehouse, including source-to-target mappings, data dictionaries, and related materials.
Identify and create centralized business-critical reports.
Provide expert consultation to team members, the Information Technology department, the Bank’s Data Council, and other stakeholders on strategies for achieving data management goals.
May assist in training or mentoring less experienced consultants in the work group.

Data Product Analyst Expert

Weekday AI · Pune, India · Full-time · Posted 2026-09-16

Workplace: on_site

Department: Weekday's Client via platform

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.

Requirements

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

Must-have skills

Datawarehousing, banking, Regulatory Reporting

Good-to-have skills

AWS, ETL, SQL

Apply

Apply at Weekday AI

About the Company

Weekday AI

Proactive software engineer recruitment via referrals

Weekday.works helps companies hire software engineers through proactive outreach and peer-recommended candidates. Its platform automates tracking, pipeline management, and provides weekly updates, while it actively identifies engineers via peer networks, reaches out, shortlists, checks references, and schedules interviews. Differentiators include peer-backed vetting instead of traditional job boards, proactive outreach, and a passive-income reference feature that monetizes referrals. The goal is to reduce the time and effort of hiring by connecting companies with pre-vetted engineers who are open to new opportunities through a network-driven approach.

Company size: 201-500
Company stage: Seed
Total funding: $2.3M
Headquarters: Bengaluru, India
Founded: 2021

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