Data Product Analyst Expert

Posted 8 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Leads enterprise data governance, quality, architecture, reporting, and analytics initiatives for a banking organization. Responsibilities include improving data warehouse quality, building dashboards, enforcing data policies, validating reporting data, documenting source-to-target mappings and data lineage, maintaining data dictionaries, and supporting strategic data management initiatives. The role also provides expert consultation, cross-functional collaboration, and mentorship to less experienced team members.
Summary Generated by Built In

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

Skills Required

  • Bachelor's degree and 6 years of experience in Data Management or Data Analytics
  • High school diploma or GED and 10 years of experience in Data Management or Data Analytics
  • Experience in banking
  • Experience with regulatory reporting or regulatory data
  • Experience with data warehouses or data lakes
  • Understanding of data warehousing and transformation methods
  • Understanding of data lineage documentation and ETL processes
  • Knowledge of spreadsheets and databases
  • Hands-on SQL experience writing complex queries
  • AWS experience
  • ETL experience
  • SQL experience
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The Company
Year Founded: 2021

What We Do

Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.

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